СПОСОБ (ВАРИАНТЫ) И СИСТЕМА (ВАРИАНТЫ) СОЗДАНИЯ МОДЕЛИ ПРОГНОЗИРОВАНИЯ И ОПРЕДЕЛЕНИЯ ТОЧНОСТИ МОДЕЛИ ПРОГНОЗИРОВАНИЯ

Изобретение относится к способу и системе создания модели прогнозирования и определения параметра точности обученной модели прогнозирования в виде дерева принятия решений. Технический результат заключается в повышении точности модели прогнозирования. Способ включает в себя доступ к обученной модели прогнозирования в виде дерева принятия решений, созданной по меньшей мере частично на основе набора обучающих объектов; создание подгруппы случайных параметров интереса; связывание подгруппы случайных параметров интереса с листом дерева принятия решений; определение параметра точности листа на основе параметров интереса, связанных с данным листом и подгруппы случайных параметров интереса данного листа; определение параметра точности обученной модели прогнозирования в виде дерева принятия решений на основе определенного параметра точности листа. 7 н. и 34 з.п. ф-лы, 11 ил.

СИСТЕМА И СПОСОБ ОЦЕНКИ ТЕХНОЛОГИЗАЦИИ РЕЗУЛЬТАТОВ МЕДИЦИНСКИХ НАУЧНО-ИССЛЕДОВАТЕЛЬСКИХ ПРОЕКТОВ

Группа изобретений относится к здравоохранению, а также наукометрическим способам и системам анализа данных о научно-исследовательских проектах с целью выявления перспективного проекта в предметной области «биомедицина» с точки зрения технологизации его результата по максимальному количеству набранных баллов по оцениваемым критериям и построения рейтинга для нескольких оцениваемых проектов по возрастанию или убыванию упомянутых баллов. Используют комплекс «оценочных» критериев с количественными параметрами, в качестве которых предложено оценивать: динамику патентной (изобретательской) активности; рост патентной (или изобретательской) активности в развитых или ведущих странах; соотношение числа патентных заявок к числу действующих патентов. Также проводят сравнение динамики подачи патентных заявок и динамики выдачи патентов; соотношение количеств научно-исследовательских организаций и производственных компаний в числе первых 10-20 правообладателей, отобранных по максимальному количеству ...

СИСТЕМА И СПОСОБ ОЦЕНКИ МЕДИЦИНСКОГО ИССЛЕДОВАНИЯ НА СООТВЕТСТВИЕ МИРОВОМУ УРОВНЮ

Группа изобретений относится к здравоохранению, а также наукометрическим способам и системам анализа данных о научно-исследовательских проектах с целью выявления перспективного проекта или направления исследования в предметной области «биомедицина» по максимальному количеству набранных баллов по оцениваемым критериям и построения рейтинга для нескольких оцениваемых проектов или направлений исследований по возрастанию или убыванию упомянутых баллов. Используют комплекс «оценочных» критериев с количественными параметрами. В качестве базовых критериев используют: динамику публикационной и/или цитатной активности, наличие направления исследований в числе 1% самых цитируемых публикаций из общего числа цитируемых публикаций, наличие направления исследований в числе 0,1% самых цитируемых публикаций из общего числа цитируемых публикаций, наличие направления исследования в мировых исследовательских фронтах, образованных содержанием научных публикаций, отражающих взаимное цитирование за период не ...

Способ поиска методов разрешения технических противоречий и система на основе обучаемой нейронной сети для его осуществления

Изобретение относится к компьютерным системам, а именно к системам, синтезирующим интеллектуальные решения в виде нахождения нужного решения или пути к нему по запросу пользователя из заданной им области знания. Техническим результатом является обеспечение разрешения любого технического противоречия в виде нахождения их решений с помощью системы на основе обучаемой нейронной сети, использующей принципы морфологического анализа и нечеткой логики. Система содержит модуль приема запроса пользователя системы, модуль распознавания языка интерфейса с запросом пользователя, модуль создания алгоритма для формирования кода запроса, модуль формирования кода запроса, модуль формирования соответствующей коду запроса структуры баз данных, модуль формирования приоритетов для обучения нейронной сети, модуль дообучения нейронной сети по соответствующим коду запроса параметрам 1-n, нейронная сеть, модуль формирование кода ответа, модуль перевода кода ответа в язык интерфейса, модуль выдачи ответа пользователю ...

Способ гибридизированного потока выработки знаний в производственно-логистическом комплексе и устройство интеллектуального блока для его реализации

АВТОМАТИЗИРОВАННАЯ СИСТЕМА ОБРАБОТКИ СВЕДЕНИЙ ОБ ОПАСНЫХ ФАКТОРАХ И АВИАЦИОННЫХ СОБЫТИЯХ

Изобретение относится к автоматизированной системе обработки сведений об опасных факторах и авиационных событиях. Технический результат заключается в создании единого хранилища полной, непротиворечивой и постоянно пополняемой электронной базы данных об известных опасных факторах и произошедших авиационных событиях, необходимой для объективной оценки состояния и тенденций в изменении уровня безопасности полетов и принятия адекватных мер по снижению авиационной аварийности в структурах государственной авиации. Система включает центральный сервер, автоматизированное рабочее место администратора системы, АРМ уполномоченных пользователей системы, АРМ уполномоченных пользователей в каждом органе военного управления среднего и высшего звена и в каждом авиационном формировании, программным обеспечением является Astra Linux Special Edition, хранилище консолидированных данных об опасных факторах и авиационных событиях является пополняемым, допускающим редактирование или дополнение занесенных в него ...

СПОСОБЫ И СИСТЕМЫ ДЛЯ ОЦЕНКИ ОБУЧАЮЩИХ ОБЪЕКТОВ ПОСРЕДСТВОМ АЛГОРИТМА МАШИННОГО ОБУЧЕНИЯ

Группа изобретений относится к области машинного обучения и может быть использована для оценки обучающих объектов. Техническим результатом является повышение эффективности алгоритма машинного обучения при экономии вычислительных ресурсов. Способ содержит получение первого набора обучающих образцов, содержащего множество признаков, итеративное обучение первой прогнозирующей модели на основе множества признаков и формирование соответствующего первого показателя ошибки прогнозирования; анализ соответствующего первого показателя ошибки прогнозирования для каждой итерации, чтобы определить точку «сверхподгонки», и определение по меньшей мере одной начальной точки оценивания; получение данных нового набора обучающих объектов и итеративное переобучение с использованием по меньшей мере одного обучающего объекта первой прогнозирующей модели, начиная с по меньшей мере одной начальной точки оценивания, для получения множества переобученных первых прогнозирующих моделей, и формирование соответствующего ...

Система и способ построени знаний

... 1. Система проектирования и генерирования конечного продукта, содержащая средство для ввода информации знаний посредством интерфейса, содержащего ряд тем и вопросов для определения базы знаний; средство для организации информации, введенной в темы в виде иерархического множества, для выработки направляющей карты; средство для объединения иерархически организованных тем и связанных с ними вопросов в структурированное содержание и для сохранения этого содержания в структуре данных; и средство для формирования словесно-описательного конечного продукта на основании структуры данных, который сообщает о находках и мнениях эксперта. 2. Система проектирования и генерирования конечного продукта по п.1, отличающаяся тем, что словесно-описательный конечный продукт содержит текст, графики и схемы. 3. Система проектирования и генерирования конечного продукта по п.1, отличающаяся тем, что словесно-описательный конечный продукт делится на несколько уровней текста. 4. Система проектирования и генерирования ...

ПРИМЕНЕНИЕ СПОСОБОВ МАШИННОГО ОБУЧЕНИЯ ДЛЯ ИЗВЛЕЧЕНИЯ ПРАВИЛ АССОЦИАЦИИ В НАБОРАХ ДАННЫХ РАСТЕНИЙ И ЖИВОТНЫХ, СОДЕРЖАЩИХ В СЕБЕ МОЛЕКУЛЯРНЫЕ ГЕНЕТИЧЕСКИЕ МАРКЕРЫ, СОПРОВОЖДАЕМОЕ КЛАССИФИКАЦИЕЙ ИЛИ ПРОГНОЗИРОВАНИЕМ С ИСПОЛЬЗОВАНИЕМ ПРИЗНАКОВ, СОЗДАННЫХ ПО ЭТИМ ПРАВИЛАМ АССОЦИАЦИИ

... 1. Способ извлечения набора данных, который содержит, по меньшей мере, один признак, созданный из, по меньшей мере, одного основанного на растении молекулярного генетического маркера, для нахождения, по меньшей мере, одного правила ассоциации и использования одного или более признаков, созданных по этим правилам ассоциации, для классификации или прогнозирования касательно одного или более целевых признаков.2. Способ по п.1, в котором правила ассоциации включают в себя пространственные и временные правила ассоциации, которые определяют самоорганизующимися картами.3. Способ по п.1, в котором набор данных выбирают из группы, состоящей из данных окружающей среды, данных о фенотипе, данных последовательности ДНК, данных микроматрицы, биохимических данных, метаболических данных или их комбинации.4. Способ по п.1, в котором одно или более правил ассоциации, определенных одним или более алгоритмами извлечения правил ассоциации, используют для классификации или прогнозирования с одним или более ...

Expertensystem mit einem Wissenserfassungsunterstützungssystem

VERHALTENSBASIERTE ANPASSUNG VON COMPUTERSYSTEMEN

Fraktales Netz n-ter Ordnung zum Behandeln komplexer Strukturen

The invention relates to a fractal network which is provided for handling complex structures and which is comprised of a multitude of units. The fractal network contains semantic units which respectively comprise information contents, and has logic units which describe a relationship content. The relationship content respectively links two semantic units in such a way that the mutual relationship of both linked semantic units is determined by the relationship content.

Inquiry skills tutoring system

An assessment engine includes a definition of inquiry skills being assessed. Assessment models are used to infer skill demonstration as one or more students engage in inquiry within computerized simulations and/or microworlds. A pedagogical agent and/or help system provides real-time feedback to one or more students based on the assessment model outputs, and/or based on additional models that track one or more students developing proficiency across inquiry tasks over time. A pedagogical agent and/or help system for science inquiry tutoring responds in real-time on the basis of knowledge-engineered and data-mined assessment and/or tracking models.

Knowledge representation system including integrated knowledge-base and database, and method and apparatus for utilizing the same

Knowledge acquisition in expert systems

A method of knowledge acquisition for entering data into a computer database in a readily computable format, comprises eliciting a set of data statements using an analysis structure determined from an underlying mathematical base, combined with a genuine falsificationist epistemology, entering elicited data statements into a database structured as a plurality of data entries, each data entry comprising a label, a said data statement and a default value, and a root node indicator; storing a relationship between said data entries as a connectivity lattice.

A method of improving the lookup performance of tree-type knowledge base searches

Method and system for creating and using knowledge patterns

A method and system for creating and using knowledge patterns. One or more patterns derived from one or more pharmaceutical data sources are acquired. A knowledge map is created using the one or more patterns. The knowledge map, such as a self-organizing knowledge map, includes a selected representation of a pattern space. A set of selected regions from the knowledge map are annotated. Others patterns are classified with annotated regions of the knowledge map. The knowledge ap is used for recognizing previously unseen or unkonwn patterns from large amounts of pharmaceutical data obtained by automated screening systems. The knowledge patterns may be used to select new known pharmaceutical compounds, or model new virtual pharmaceutical compounds. The method and system described herein may be used to locate and describe previously unrecognized patterns of biological or chemical activity concealed with in a selected range of drug discovery data. This may improve the identification, selection ...

Resolving conflicts between rule sets with subsets for which priority is expressed by ordered precedence and longest prefix

Automatic invocation of computational resources without user intervention across a network

Using a machine learning module to determine when to perform error checking of a storage unit

Provided are a computer program product, system, and method for using a machine learning module to determine when to perform error checking of a storage unit. Input on attributes of at least one storage device comprising the storage unit are provided to a machine learning module to produce an output value. An error check frequency is determined from the output value. A determination is made as to whether the error check frequency indicates to perform an error checking operation with respect to the storage unit. The error checking operation is performed in response to determining that the error checking frequency indicates to perform the error checking operation.

Method and system for creating and using knowledge patterns

Inducing rules for fraud detection from background knowledge and training data

A method of anomaly detection applicable to telecommunications or retail fraud uses inductive logic programming 12 to develop anomaly characterisation rules 18 from relevant background knowledge 14 and a training data set 16, which includes positive anomaly samples of data covered by rules. Data samples include 1 or 0 indicating association or otherwise with anomalies. An anomaly is detected by a rule having condition set which the anomaly fulfils. Rules are developed by addition of conditions and unification of variables, and are filtered to remove duplicates, equivalents, symmetric rules and unnecessary conditions. Overfitting of noisy data is avoided by an encoding cost criterion. Termination of rule construction involves criteria of rule length, absence of negative examples, rule significance and accuracy, and absence of recent refinement. Iteration of rule construction involves selecting rules with unterminated construction, selecting rule refinements associated with high accuracies ...

System and method for processing data inputs in computing devices

A method of executing real-time computing for a multi­dimensional system model spanned by state variables on finite domains and/or intervals: providing a system model in which all valid combinations and associated properties or object functions are stored as interconnected relations distributed on one or more computers; deducing any sub-space, corresponding to an input statement and/or query, of states or combinations spanned by one or more state variables or associated properties or object functions, by deriving consequences of a statement and/or a query by applying constraints defined by the statement and/or query to the system model. Aspirational application in providing control, analysis, and/or recommendations, could include a user interface. Embodiment is a mobile phone application which provides customised food recommendations based on user medical history, lifestyle and like data inputs.

Location-based delivery of structured content

Parallel processing of reduction and broadcast operations on large datasets of non-scalar data

A method for training a machine learning model or processing training data in batches using parallel processing of multiple replica instances of the model at nodes or batches at nodes respectively. Nodes are processing units in a computer processor topology containing multiple connected processing units. The computer processor topology may be a two dimensional mesh, a three dimensional mesh, or a torus topology. Trained or batch processed data data, e.g. gradient vectors, are calculated in parallel for each model instance or data batch. Following this the gradients vectors or results of batch processing are combined to provide the trained machine learning model or trained data. The methods for reducing processing in the topology may use a single-path, pincer, rotated pincer, gradient reduction, iterative reduction, recursive reduction or rotated recursive reduction algorithms. The methods provide parallel computation and communication between nodes (processors) in the topology.

Inference apparatus

Expert system

Elastic execution of machine learning workloads using application based profiling

EXPERTENDATENBANK VORWÄRTSRÜCKVERBINDUNGSGEWICHTUNGSASSOZIATIONSREGELN

SYSTEMS, PROCEDURES, INTERFACES AND SOFTWARE FOR THE AUTOMATED COLLECTION AND INTEGRATION OF ENTITÄTSDATEN IN ON-LINE DATA BASES AND PROFESSIONAL LISTINGS

INFERENCE SYSTEM WITH STABLE RULE AND FACT DATA BASE STORAGE

CONTEXT-ADDRESSABLE CIRCULATING MEMORY.

SAMPLE-ADDRESSABLE MEMORY.

PROCEDURE FOR THE KNOWLEDGE REPRESENTATION IN A COMPUTER

PROCEDURE AND EQUIPMENT FOR THE TREATMENT OF AN INQUIRY IN ACCORDANCE WITH A BOOLEANREGEL

STATISTICAL SELF LEARNING ARCHIVAL SYSTEM

A system for self-learning archival of electronic data may be provided. A binary classifier may identify a text segment of an electronic dataset in response to text of the electronic dataset being associated with indicators of a word model. A first multiclass classifier may generate a first classification set including respective statistical metrics for the datafield that each predefined identifier in a group of predefined identifiers is representative of the datafield. A second multiclass classifier may receive a context of the electronic dataset and generate a second classification set. A combination classifier may apply weight values to the first classification set and the second classification set and form a weighted classification set and select a predefined identifier as being representative of the datafield based on the weighted classification set. The processor may store, in a memory, a data record including an association between the predefined identifier and the datafield. Patent ...

Carbon monoxide purge system for a property

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, purging carbon monoxide (CO) from within a property. The methods, systems, and apparatus include actions of obtaining a reading from a carbon monoxide sensor in a property, determining that carbon monoxide in a property satisfies a carbon monoxide criteria based on the reading from the carbon monoxide sensor, obtaining a reading from a fire sensor, determining that a fire is not in the property based on the reading from the fire sensor, and in response to determining that carbon monoxide in the property satisfies the carbon monoxide criteria and that a fire is not in the property, triggering air in the property to be vented outside the property.

System and method for identifying a subset of total historical users of a document preparation system to represent a full set of test scenarios based on statistical analysis

A method and system generate sample data set for efficiently and accurately testing a new calculation for preparing a portion of an electronic document for users of an electronic document preparation system. The method and system receive the new calculation and gather historical use data related to previously prepared electronic documents for a large number of historical users. The method and system group the historical users into groups based on the attributes of the historical users. The groups are selected to include groups dedicated to users with rare combinations of attributes, as well as groups for users with more common combinations of attributes. The groups are then sampled by selecting a small number of historical users from each group.

DETECTING CORRELATION AMONG SETS OF TIME SERIES DATA

A device may receive time series data from one or more data sources. The device may pre-process the time series data to generate a respective time series chart for multiple classifications included in the time series data. The device may randomly select a pair of respective time series charts and a correlation detection technique after pre-processing the time series data. The device may determine a correlation for the pair of respective time series charts based on using the correlation detection technique. The device may determine a score for the pair of respective time series charts based on the correlation of the pair of respective time series charts. The score may indicate an extent to which the pair of respective time series charts is correlated with each other. The device may perform one or more actions after determining the score for the pair of respective time series charts. 0095-0475AU Page 1/7 oE E 0=) a E c m -0 CD -0 IMc 't 0aW n Fu cn ( a) a) > I C L 0 0) C (N Cf Cn CL E co ...

Cooperatively operating a network of supervised learning processors to concurrently distribute supervised learning processor training and provide predictive responses to input data

A supervised learning processing (SLP) system and non-transitory, computer program product provides cooperative operation of a network of supervised learning processors to concurrently distribute supervised learning processor training, generate predictions, and provide prediction driven responses to input objects, such as NL statements. The SLP system includes SLP stages that are distributed across multiple SLP subsystems. Concurrently training SLP's provides accurate predictions of input objects and responses thereto, the SLP system and non-transitory, computer program product enhance the network by providing high quality value predictions and responses and avoiding potential training and operational delays. The SLP system can enhance the network of SLP subsystems by providing flexibility to incorporate multiple SLP models into the network and train at least a proper subset of the SLP models while concurrently using the SLP system and non-transitory, computer program product in commercial ...

System and method for producing web-based process advisor applications

DOCUMENT GENERATION APPARATUS AND METHODS

Approach for generating rules

E-mail management system and method

Rule creation for computer application screening

Information extraction using an object based semantic network

ARTIFICIAL INTELLIGENCE PLATFORM

Systems and methods for analyzing and synthesizing complex knowledge representations

Techniques for analyzing and synthesizing complex knowledge representations (KRs) may utilize an atomic knowledge representation model including both an elemental data structure and knowledge processing rules stored as machine-readable data and/or programming instructions. One or more of the knowledge processing rules may be applied to analyze an input complex KR to deconstruct its complex concepts and/or concept relationships to elemental concepts and/or concept relationships to be included in the elemental data structure. One or more of the knowledge processing rules may be applied to synthesize an output complex KR from the stored elemental data structure in accordance with context information. Multiple input complex KRs of various types may be analyzed and deconstructed to populate the elemental data structure, and input complex KRs may be transformed through the elemental data structure to output complex KRs of different types, providing semantic interoperability to KRs of different ...

System for online rule-based video classification

Method and system for obtaining knowledge based recommendations

Device for generating selection structures, for making selections according to selection structures, and for creating selection descriptions

Application of Machine Learning Methods for Mining Association Rules in Plant and Animal Data Sets Containing Molecular Genetic Markers, Followed by Classification or Prediction Utilizing Features Created from these Association Rules

Abstract: A method for predicting the presence of at least one continuous target feature in a plant, comprising: determining by direct DNA sequencing the genotype of the plant for at least one molecular genetic marker selected from the group consisting of a DNA molecular marker and an RNA molecular marker; providing a data set comprising a set of variables, wherein at least one of the variables in the data set comprises a value representing the genotype of the plant for the molecular genetic marker(s); determining at least one association rule from the data set utilizing a computer and one or more association rule mining algorithms; utilizing the association rule(s) to create one or more new variables to the data set; adding the new variable(s) to the data set to produce a larger data set; developing a plurality of models for prediction or classification of the continuous target feature(s) using at least one new variable added to produce the larger data set; utilizing cross-validation to ...

Query response device

The invention concerns a query response device comprising: an input adapted to receive user queries; a memory (106) adapted to store one or more routing rules; one or more live agent engines (116) configured to support interactions with one or more live agents; one or more virtual assistant engines (120) configured to support interactions with one or more virtual assistants instantiated by an artificial intelligence module (103); and a routing module (104) coupled to said live agent engines and to said virtual assistant engines, the routing module comprising a processing device configured: to select, based on content of at least a first user message from a first user relating to a first user query and on said one or more routing rules, a first of said live agent engines or a first of said virtual assistant engines; and to route one or more further user messages relating to the first user query to the selected engine ...

SYSTEMS AND METHODS FOR ANALYZING AND SYNTHESIZING COMPLEX KNOWLEDGE REPRESENTATIONS

Techniques for analyzing and synthesizing complex knowledge representations (KRs) may utilize an atomic knowledge representation model including both an elemental data structure and knowledge processing rules stored as machine-readable data 5 and/or programming instructions. One or more of the knowledge processing rules may be applied to analyze an input complex KR to deconstruct its complex concepts and/or concept relationships to elemental concepts and/or concept relationships to be included in the elemental data structure. One or more of the knowledge processing rules may be applied to synthesize an output complex KR from the stored elemental data structure in 10 accordance with an input context. Multiple input complex KRs of various types may be analyzed and deconstructed to populate the elemental data structure, and input complex KRs may be transformed through the elemental data structure to output complex KRs of different types, providing semantic interoperability to KRs of different ...

Digital DNA sequence

In an embodiment of the invention, a method of classifying a data object includes: scanning the data object; evaluating contents of data objects base on at least one selected rule; and generating a digital DNA sequence that classifies at least some contents in the data object.

A system and method for representing and retrieving knowledgein an adaptive cognitive network

RISK IDENTIFICATION AND RISK REGISTER GENERATION SYSTEM AND ENGINE

Abstract The present invention relates to a computer-based system for generating a risk register relating to a named entity. The system comprises a computing device, a risk database accessible by the computing device and having stored therein a set of risk types based on an induced taxonomy of risk types previously derived at least in part upon operation of a machine learning module, an input adapted to receive a set of source data, the set of source data being in electronic form and representing textual content comprising potential risk phrases, a entity-risk relation classifier adapted to identify and extract entity-risk relations from the set of source data, a risk tagger adapted to identify in the set of source data a set of risk candidates (ri) based on the set of risk types, a entity tagger adapted to identify mentions of entity names (ci) in the set of source data, and a risk register aggregator adapted to generate a first risk register based on the set of tuples associated with ...

HYPERTEXT-BASED SYSTEM AND METHOD FOR KNOWLEDGE EDITING

A system, which is a bona fide knowledge editor, provides a tool for projecting knowledge into hypertext, modifying it, and returning it to human memory, with an option of storing projections on data carriers. Hypertextual knowledge representation is created and manipulated via a knowledge model in a hypertext editing window. Knowledge elements are created directly in the hypertext editing window or dragged into it as words and phrases from an optional text window. Properties are assigned automatically to graphical elements and their respective nodes or links in the internal model of hypertext. Ease of use and background XML encoding make the system accessible to any computer user. The system and method facilitate thinking and learning, allow to create simple and sophisticated ontologies, concept maps, domain knowledge models, other semantic artifacts, and also to merge models produced by many authors into averaged semantic representations ready for further use in Semantic Web.

ASSOCIATIVE RELEVANCY KNOWLEDGE PROFILING ARCHITECTURE, SYSTEM, METHOD, AND COMPUTER PROGRAM PRODUCT

Provided are architectures, system, methods, and computer program products that provide a user with the ability to define an association of data and/or information from known reference sets perceived by the user as relevant to a subject matter domain, thereby imparting and formalizing some of the user's knowledge about the domain. An associative relevancy knowledge profiler may also allow a user to create a profile by modifying or restricting the known reference sets and windowing the results from the association as a user might refine any other analysis algorithms. An associative relevancy knowledge profiler may also be used to define a user profile used by the user and others. A user profile may be usable in various manners depending upon, for example, rights management permissions and restrictions for a user.

EXPERT CONTROL SYSTEMS AND METHODS FOR LEVEL MEASUREMENT

In at least one illustrative embodiment, a guided wave radar (GWR) level transmitter may comprise a waveguide probe (to be positioned in a tank containing media), a measurement circuit, and a compute device. The measurement circuit may transmit a series of pulses along the waveguide probe and measure a series of reflected waveforms. The compute device may implement an expert control system to determine a level of the media in the tank, where the expert control system comprises (i) a knowledge base incorporating prior knowledge and (ii) an inference engine to apply logical rules from the knowledge base to evaluate information contained in the series of reflected waveforms to determine the level of media in the tank. The prior knowledge may comprise a system model of the GWR level transmitter, behaviors associated with typical level measurement applications, and/or system parameters supplied by a user of the GWR level transmitter.

GRAPHICAL USER INTERFACE FOR USE WITH OPEN EXPERT SYSTEM

COMPUTERIZED ASSISTANCE USING ARTIFICIAL INTELLIGENCE KNOWLEDGE BASE

A computerized personal assistant includes a natural language user interface, a natural language processing machine, an identity machine, and a knowledge-base updating machine. The knowledge-base updating machine is configured to update a user-centric artificial intelligence knowledge base associated with the particular user to include a new or updated user-centric fact based on the computer-readable representation of the user input, wherein the knowledge-base updating machine updates the user-centric artificial intelligence knowledge base via an update protocol useable by a plurality of different computer services.

CARBON MONOXIDE PURGE SYSTEM FOR A PROPERTY

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, purging carbon monoxide (CO) from within a property. The methods, systems, and apparatus include actions of obtaining a reading from a carbon monoxide sensor in a property, determining that carbon monoxide in a property satisfies a carbon monoxide criteria based on the reading from the carbon monoxide sensor, obtaining a reading from a fire sensor, determining that a fire is not in the property based on the reading from the fire sensor, and in response to determining that carbon monoxide in the property satisfies the carbon monoxide criteria and that a fire is not in the property, triggering air in the property to be vented outside the property.

SYSTEMS AND METHODS FOR IMPROVING KBA IDENTITY AUTHENTICATION QUESTIONS

Certain implementations include systems and methods for improving knowledge-based-authentication (KBA) identity authentication questions. A method is provided that includes receiving a set of identity information associated with a subject; querying one or more databases; receiving personally identifiable information; determining, from the personally identifiable information, at least one subject characteristic; producing, with a predictive model and based on the personally identifiable information and on the at least one subject characteristic, at least one knowledge based authentication (KBA) identity proofing question having a personally identifiable correct answer; sending, for display on a first computing device associated with the subject, the at least one KBA identity proofing question; receiving, responsive to the sending, a response answer; and responsive to a match between the response answer and the personally identifiable correct answer, sending, for display on the first computing ...

MULTI-SOURCE-TYPE INTEROPERABILITY AND/OR INFORMATION RETRIEVAL OPTIMIZATION

In certain embodiments, query-related resource usage in a data retrieval process may be reduced. In some embodiments, a graph query related to a data request may be obtained. The graph query may be transformed into a query set based on a graph data model and patterns of the graph query. Upon generation, the query set may include queries and query operators linking the queries, where the query operators include a first query operator linking first and second queries. Prior to execution of the first or second queries, a satisfiability issue (e.g., related to combining results derived from such queries) may be predicted. Based on the prediction, the first query operator may be removed from the query set to update the query set, which may then be executed to satisfy the graph query. In other embodiments, data retrieval delays may be reduced via prediction-based generation of data subgraphs.

PREDICTION PROCESSING SYSTEM AND METHOD OF USE AND METHOD OF DOING BUSINESS

A prediction processing system, method, and method for doing business is disclosed. The prediction processing system can collect, process and publish event- outcome information. The prediction processing system can dynamically filter participants into groupings and iteratively optimize odds calculations over time. A proposal framework consisting of a various abstract proposal types can model and settle propositions. Game propositions can be automatically generated based on event categorization relationships. The prediction processing system can provide game players or others with access to collective intelligence, including prediction information and information derived from prediction information. The prediction processing system can create groupings of better-performing predictors and provide them with additional information not generally available. Better-performing predictors can be provided with additional stakes to increase the weight of their predictions in odds calculations. The ...

METHODS AND DEVICES FOR CUSTOMIZING KNOWLEDGE REPRESENTATION SYSTEMS

Techniques for customizing knowledge representation systems including identifying, based on a plurality of concepts in a knowledge representation (KR), a group of one or more concepts relevant to user context information, and providing the identified group of one more concepts to a user. The KR may include a combination of modules. The modules may include a kernel and a customized module customized for the user. The kernel may accessible via a second KR.

SYSTEM AND METHOD OF ONTOLOGICAL SUBJECT MAPPING FOR KNOWLEDGE PROCESSING APPLICATIONS

The present invention discloses methods, systems, and tools for knowledge processing by building maps of ontological subjects for compositions or the contents accompanying a request for service by a user. In one embodiment of the invention the method assigns and calculates an ontological subject power spectrum to each composition or ontological subject. The resulting power spectrum and the adjacency matrix of the map are used to evaluate the merits of the compositions in the context of reference universes. It is also used as a research guiding tool for knowledge discovery. The invention serves knowledge seekers, knowledge creators, inventors, discoverer, as well as general public by assisting and guiding users to assess their work, identify their unknowns, optimize their research trajectory, and provide higher quality contents. The method and system, thereby, is instrumental in increasing the speed and efficiency of knowledge acquisition, discovery, retrieval, as well as faster learning ...

EXPERT SYSTEM APPARATUS AND METHODS

A definition-based expert system and expert system shell. The expert system shell creates a knowledge base consisting of terms and their definitions, the definitions making up a hierarchy of definitions in which each definition depends only on terms defined at lower levels in the hierarchy or on term-independent values. Expert responses are obtained from the system by evaluating the terms. When a term is evaluated, all of the term-independent values and the values of all of the terms in its definition are obtained. The definitions include operators specifying operations which are to be performed when the defined term is evaluated. The operators include causing other systems operable in the digital computer system in which the expert system is operating to operate. The definitions further include table operators. Base table operators define terms representing tables and columns in the tables and permit loading of the tables. Query table operators define terms representing tables defined ...

METHOD FOR MANAGING RULE CONFLICTS IN ACTIVE RULE-BASED SYSTEMS

Many active computer based systems have sets of rules that execute upon the occurrence of particular events when specified condition predicates are satisfied. The present invention presents a method to control the interaction and execution of multiple rules that are triggered by the same condition. The method of the present invention implements logical meta-rules to resolve ambiguities of relationships between rules among multiple triggered rules and arrive at an ordered set of unambiguous system rules. The meta-rules will determine if a rule will never execute, whether two rules can ever be executed together, and whether a rule system will have a unique execution set for all possible rules that become fireable.

GENERATION AND SIMULATION OF KNOWLEDGE BASES

... 2102902 9222869 PCTABS00018 Knowledge bases (320) are generated by a computer directly from flowcharts and logic trees. Only a few icons (424, 426, 432, 434, 436, 440, 442, 444, 446, 450, 428) are used in the flowcharts so as to make the flowcharts easier to trace. Different colors are used to indicate the states of statements in the knowledge base. A simulator is provided to simulate knowledge base execution. The simulator displays the corresponding flowcharts and logic trees on the computer screen (520). The simulator shows which statement is being evaluated and provides various information useful for debugging and personnel training.

OBJECT ORIENTED CASE-BASED REASONING FRAMEWORK MECHANISM

An object-oriented programming framework for a case-based reasoning (CBR) system shell that permits a user build a case base having Case Structure Definitions (104) and Case Instance Definitions (106). The case-based reasoning system receives user queries (108) and produces a query solution that can be incorporated into the case base. The object-oriented framework includes a Session component that controls processing of the CBR system, a Control Flow component that manages the extension of the categories and classes of the object-oriented framework, a Data Store component that stores persistent case structure definitions, case instances, and a change log, a Presentation component that manages the user interface to the CBR system user, and a Query Engine that evaluates a received query against the case base. The case definitions and case base descriptions comprise a set of object-oriented classes that are organized into an inheritance hierarchy.

MULTI-LINGUAL KNOWLEDGE MATRIX TECHNIQUE

A technique to add multi-lingual feature to the knowledge matrix having knowledge packets which represents mutually-exclusive knowledge at high level of abstraction. Disclosed is a method for encapsulating multi-lingual knowledge packets of an element and its components in a multi-lingual knowledge matrix having a plurality of dimensions. Also disclosed is a multi-lingual system having language-independent algorithms to compile knowledge packets by a correct-by-construction matrix operation. The knowledge matrix compiler comprises a language processor which separates languages, and a knowledge packet parser which processes knowledge by concatenating lines, sorting lines, removing duplicates, and parsing selectively. This invention relates to computing, more particularly to digital data processing systems and methods.

COMPUTER-IMPLEMENTED DECISION MANAGEMENT SYSTEM WITH DYNAMICALLY GENERATED QUESTIONS AND ANSWER CHOICES

A computer-based method for assisting a user in making decisions in the process of completing a task is shown and described. The method of the system includes providing a set of questions for completing the task, asking the user a first question from the set, and providing a choice of answers to the first question. The system also provides advice from its knowledge base for deciding which of the answers to the first question to select. The choice of answer, however, remains under the control of the user, who can exercise professional judgment based on the user's expertise and the advice provided by the decision management system. The method continues by asking following questions, with the following questions, answers and advice influenced by the user's previous answers. Throughout the decision-making process, the user retains control of the answers if so desired, with the system providing advice from its knowledge base. The system is particularly suited for document assembly in allowing ...

Comparison of models of a complex system.

Zum Vergleich von computerbasierten und datenverarbeitenden Modellen eines komplexen Systems, wobei ein erstes Modell und ein zweites Modell des Systems vorliegen, und die Modelle jeweils ein Systemverhalten mittels vordefinierter Objekte modellieren, welche Aktivitäten und Einheiten innerhalb des Systems repräsentieren, werden die folgenden Schritte ausgeführt: Vergleich der Modelle und Bestimmung von jeweils einander zugeordneten vordefinierten Objekten des ersten und des zweiten Modells, Bestimmung von Unterschieden in Attributen von einander zugeordneten vordefinierten Objekten, und Ausgabe der Unterschiede an einen Benutzer. Durch die Verwendung von vordefinierten Objekten, also Objekten, die zu einer bekannten Menge von Typen gehören, kann der Modellvergleich effizienter durchgeführt werden als bei unstrukturierten Modellen.

Analysis of a model of a complex system.

Eine Analyse eines computerbasierten und datenverarbeitenden Modells eines komplexen Systems, wobei das Modell mindestens zwei Modellierungsebenen aufweist, auf welchen das System mit unterschiedlichen Abstraktionsgraden repräsentiert wird, weist die folgenden Schritte auf: Erstellen eines ersten Teilmodells des Systems auf einer ersten Modellierungsebene durch Definition von Objekten und von Verknüpfungen zwischen diesen Objekten; Erstellen eines zweiten Teilmodells des Systems auf einer zweiten Modellierungsebene durch Definition von Objekten und von Verknüpfungen zwischen diesen Objekten; Erstellen von Zuordnungen respektive Beziehungen zwischen Objekten der ersten und der zweiten Modellierungsebene; Erstellen mindestens einer ersten Ereigniskette, welche einen Handlungsablauf in der ersten Modellierungsebene repräsentiert und mittels der Objekte der ersten Modellierungsebene beschreibt; Erstellen mindestens einer zweiten Ereigniskette, welche denselben Handlungsablauf in der zweiten ...

Method for receiving digital content from outer or inner sides to recommend social medium in variety of different social media to be targeted, involves protecting recommendation opportunities of content from limitation in message boards

The method involves protecting recommendation opportunities of digital content from limitation in personal status message boards of an advisor. The digital content is recommended to multiple social media and on different accounts of a social recommend medium, where the digital content is received from outer and inner sides through a social medium to be developed. A digital content receiving software and/or apparatus are utilized by a user by using a browser (500). Storage of information for the digital contents is recognized on a hard disk of the user. Independent claims are also included for the following: (1) an apparatus for receiving digital content from outer side or inner side to recommend a social medium in a variety of different social media to be targeted (2) a system for receiving digital content from outer side or inner side to recommend a social medium in a variety of different social media to be targeted (3) a software having a set of instructions to perform a method for receiving ...

Verfahren zur automatischen Extraktion von Textinformationen aus Bilddateien.

Verfahren zur automatischen Extraktion von Information aus Dokumentendateien durch Attribution von Lernmodellen und Extraktionsmechanismen auf Extraktions-Entitäten, wobei das Verfahren folgende Teilverfahren einzeln, komplementär oder in Kombination umfasst: • Aggregation der Lern- und Extraktionsdaten aus einzelnen Feldern • Logische Trennung der Lernmodelle und Extraktionsmechanismen von Dokumententypen • automatisiertes Learning von Dokumentenextraktionsdaten durch: a. Generierung der Lerndaten aus der Datenvalidierung der Dokumentenbearbeitung b. Zentrale Validierung aller Lerndaten auf Relevanz und Qualität c. Zentrales oder verteiltes Retraining der Extraktionsmethoden mit Hilfe der evaluierten Lerndaten d. Evaluation der neu erstellen Extraktionsmethoden und Modellen ...

METHOD OF PRODUCING ENCLOSURE OF REVERSE FUZZY LOGIC OUTPUT, CORRESPONDING DISPATCHING OF DIRECT OUTPUT

ЭКСПЕРТНАЯ СИСТЕМА ВЫБОРА ПРОДУКТОВ

Изобретение представляет собой доступную через сеть экспертную систему для выбора продуктов и способ использования этой системы, который позволяет экспертам быстро вводить экспертное знание, а потребителю - делать правильные выборы продуктов быстро и эффективно. Изобретение включает в себя: (А) графический пользовательский интерфейс, который направляет потребителя в выборе приложений, спецификаций и рейтингов продуктов и интерактивно отображает оцененный список доступных продуктов; (В) весь процесс выбора показан в сегментах только одного экрана, так что пользователь может вернуться и изменить свой запрос интерактивно; (С) пользовательский интерфейс, который обеспечивает прямые ссылки к доступным через сеть данным продуктов, таким как таблицы данных о продуктах и таблицы данных безопасности материалов, либо альтернативно обеспечивает ссылки к групповым сетевым поисковым машинам; и (D) имеет программные команды, отдельные от информации о продуктах, так что данные о продуктах можно легко ...

ЭКСПЕРТНАЯ СИСТЕМА ВЫБОРА ПРОДУКТОВ

Изобретение представляет собой доступную через сеть экспертную систему для выбора продуктов и способ использования этой системы, который позволяет экспертам быстро вводить экспертное знание, а потребителю - делать правильные выборы продуктов быстро и эффективно. Изобретение включает в себя: (А) графический пользовательский интерфейс, который направляет потребителя в выборе приложений, спецификаций и рейтингов продуктов и интерактивно отображает оцененный список доступных продуктов; (В) весь процесс выбора показан в сегментах только одного экрана, так что пользователь может вернуться и изменить свой запрос интерактивно; (С) пользовательский интерфейс, который обеспечивает прямые ссылки к доступным через сеть данным продуктов, таким как таблицы данных о продуктах и таблицы данных безопасности материалов, либо альтернативно обеспечивает ссылки к групповым сетевым поисковым машинам; и (D) имеет программные команды, отдельные от информации о продуктах, так что данные о продуктах можно легко ...

СПОСІБ ОЦІНКИ ТЕНДЕРНИХ ПРОПОЗИЦІЙ

Спосіб оцінки тендерних пропозицій, згідно з яким відповідно обумовлюють критерії оцінки відповідно до предмету торгу, вносять їх перелік до автоматизованого засобу управління та включають до тендерної документації. Критерії оцінки оцінюють в автоматизованому засобі управління за кількісним способом оцінки, до якого входять метод бальної оцінки, метод інтервалів та метод відхилення показника, або за якісним способом оцінки, а підсумкове значення показника для кожної тендерної пропозиції визначають в автоматизованому засобі управління за способом підсумкової оцінки тендерних пропозицій. При оцінці пропозицій за методом бальної оцінки для розрахунку балів за критеріями, відповідно до яких пропозиція тим краща, чим значення показника вище, найбільш вигідній тендерній пропозиції присвоюють максимально можливу кількість балів. При оцінці пропозицій за методом інтервалів найбільш вигідній тендерній пропозиції присвоюють максимально можливу кількість балів, найменш вигідній - мінімальну. Крім ...

ПРОЦЕС ПЕРЕТВОРЕННЯ ДАНИХ ПРИ ЕЛЕКТРОННОМУ ОПРИЛЮДНЕННІ, РОЗМІЩЕННІ ТА ПЕРІОДИЧНОМУ ОНОВЛЕННІ ДОКУМЕНТІВ ЩОДО ЗДІЙСНЕННЯ ЗАКУПІВЕЛЬ ТОВАРІВ, РОБІТ ТА ПОСЛУГ

Описаний процес перетворення даних при електронному оприлюдненні, розміщенні та періодичному оновленні документів щодо здійснення закупівель товарів, робіт та послуг. Як поєднуюче середовище для розміщення документів з даними щодо процедур закупівель замовник застосовує спеціалізовані електронні системи в мережі Інтернет, кожна з яких відкривається через програму броузер за чітко визначеною адресою, а документи стають доступними користувачам, які мають чітко відмежовані права доступу. Замовник створює електронне оголошення про проведення торгів або запрошення до участі в процедурі закупівель, яке надсилає в базу даних сервера, причому в процесі здійснення цих операцій він використовує відокремлені бази областей даних сервера, в тому числі файлових баз документів, які є доступними для перегляду в цій системі, і використовує розмежовані права доступу, надані йому адміністратором сервера. Адміністратор оприлюднює ці документи у вигляді частини екранного інтерфейсу, після цього замовник створює ...

ПРОЦЕС ПЕРЕТВОРЕННЯ ДАНИХ ПРИ ВІДОБРАЖЕННІ ЕЛЕКТРОННОГО ДОКУМЕНТООБІГУ ЩОДО ЗДІЙСНЕННЯ ЗАКУПІВЕЛЬ ТОВАРІВ, РОБІТ ТА ПОСЛУГ

Описаний процес перетворення даних при відображенні електронного документообігу щодо здійснення закупівель товарів, робіт та послуг. Як поєднуюче середовище для розміщення документів замовник застосовує спеціалізовані електронні системи в мережі Інтернет, кожна з яких відкривається через програму броузер за чітко визначеною адресою, а документи стають доступними користувачам, які мають чітко відмежовані права доступу. Замовник модифікує відокремлені області баз даних сервера, в тому числі файлових баз документів, використовуючи відкритий за певною адресою в мережі Інтернет інтерфейс, і файли, які містять документи з даними щодо процедур закупівлі, підключає до посилань, які є частиною цього інтерфейсу. Замовник має розмежовані права доступу, надані адміністратором. За дорученням замовника адміністратор від власного імені може підключити надані йому замовником файли, що містять документи з даними щодо процедур закупівель, до посилань, які є частиною екранного інтерфейсу спеціалізованої електронної ...

СПОСІБ ОБРОБКИ ІНФОРМАЦІЇ ПРИ ПРОВЕДЕННІ ТОРГІВ

Спосіб обробки інформації при проведенні торгів, при якому замовник за допомогою електронно-обчислювальної машини оформлює тендерну документацію та оголошення про проведення торгів. На основі отриманої від учасників інформації оформлює протокол розкриття тендерних пропозицій та здійснює порівняльний аналіз і перевірку відповідності учасників встановленим вимогам. В разі виявлення відповідності замовник здійснює оцінку пропозицій на підставі критеріїв та методики оцінки тендерних пропозицій. Після визначення переможця замовник оформлює протокол оцінки тендерних пропозицій і повідомлення про акцепт та надсилає його переможцю. Для інших учасників замовник оформлює та надсилає повідомлення про результати проведення торгів, а також оформлює звіт про результати здійснення процедури закупівлі.

СПОСОБ ФИЛЬТРАЦИИ ВЕБ-КОНТЕНТА

Изобретение относится к способам обработки данных, в частности к области управления доступом к сайтам в сети Интернет. Технический результат направлен на повышение актуальности и объективности информации об интернет-ресурсах, использующейся при фильтрации, повышение точности и скорости классификации веб-контента. Способ фильтрации веб-контента заключается в том, что осуществляют фильтрацию веб-контента, а также актуализацию и формирование совокупных оценок веб-контента. При этом в процессе фильтрации веб-контента формируют пользовательский запрос на получение целевого веб-контента, получают идентификатор целевого веб-контента из сформированного запроса, осуществляют запрос и получение совокупной оценки целевого веб-контента из базы данных, принимают решение о доступе или отказе в доступе пользователя к целевому веб-контенту на основании установленного пользователем уровня доступа и полученной совокупной оценки. При этом в процессе актуализации и формирования совокупных оценок веб-контента ...

Method, device and system of multi-learning subject parallel training model

Method and a device for modeling student

有效内容的向导：任务和结构内容的执行

... 本发明描述用于编著和执行向导的系统。新的向导从如帮助文件，KB条目等现有的结构化内容创建，或使用针对有应用经验(不需要)开发经验)的编著者的简单编著工具创建。向导在使用现有GUI自动模块的现有GUI的顶层运作，并能教会用户如何执行任务或为他们执行任务。此外，编著的向导也能与用户对话，帮助他们作出选择，并能访问系统/用户状态，执行有条件的活动。向导通过可选的反馈系统被更新。 ...

A support scheme the rapid generation of firearms of the type design method

Knowledge management system of WEB network

Intent classification method and device based on business corpus and intelligent question answering method

Parallel processing of data by multiple semantic reasoning engines

Consider the words of the document corresponding to the similarity calculation method is the subject of the

Information processing apparatus, information processing method and storage medium

There is provided an information processing apparatus for presenting knowledge information that is similar to inputted knowledge information, by using a knowledge system including relation information between a plurality of knowledge information items, the apparatus comprising: an input unit configured to receive first knowledge information, and second knowledge information that is associated with the first knowledge information; a relation acquisition unit configured to acquire first relation information indicating a relation that the first knowledge information has with respect to the second knowledge information, from the knowledge system; a knowledge acquisition unit configured to acquire knowledge information that has the relation indicated by the first relation information with respect to the second knowledge information, from the knowledge system; and an output unit configured to output the knowledge information acquired by the knowledge acquisition unit as knowledge information similar to the first knowledge information.

Methods and systems for computer-aided identification of technical phenomena

A system for computer-aided identification of technical phenomena and related methods, particularly with technical problems is described. The system is equipped with a computer executing a program and provided with means for inputting alphanumeric data, means for entering graphical information, and a visual display. The execution of said program causes the computer to work by displaying a sequence of request and input windows for a description of the technical phenomenon by way of an alphanumeric, human natural language and/or a graphical image and according to specific logic and construction rules of the human natural language expression or of the graphic expression, at a detailed level, which construction rules change from window to window and are displayed at the margin of a data input field in the window.

Business rules for recommending additional camera placement

Business rules may be defined for camera placement in a video surveillance system, such as a system monitoring an airport. The business rules may be logical rules having an if-then format. For example, the if portion of the business rule may include a category, a surveillance area, and a business case for a proposed location. The then portion of the business rule may specify a recommendation to install an additional security camera in the video surveillance system at the proposed location. The recommendation may be calculated using a spreadsheet. The business rules provide justification for recommending a new camera placement and provide sound reasoning to assist in decision making when considering new camera locations in a video surveillance system.

System and method for providing distributed intelligent assistance

A system and a method for a service engine providing distributed intelligent assistance to a user are described herein. The method comprising steps of receiving and displaying a user inquiry from the user, the user inquiry having a linguistic pattern including a verb; generating and displaying a follow up question based on the user inquiry; receiving and displaying a follow up answer from the user; and generating and displaying a response based on the user inquiry and the follow up answer.

Method and apparatus for providing rule-based recommendations

An approach is provided for providing rule-based recommendations. A recommendation platform determines one or more contexts for at least one level of a hierarchy of one or more context parameters. The hierarchy reflects different granularities of the one or more context parameters. The recommendation platform determines to generate at least one rule set based, at least in part, on the one or more contexts and then determines to include the at least one rule set in the hierarchy for generating recommendation information for one or more applications.

Techniques for data generation

Techniques, including systems and methods, for generating data are disclosed and suggested herein. Original data used in connection with one or more applications is analyzed in order to determine one or more distribution characteristics for the original data. The distribution characteristics are used to generate data that is similarly distributed. The generated data may be used as seed data for demonstrating, testing, or otherwise using one or more applications.

Addition of Plan-Generation Models and Expertise by Crowd Contributorst

The subject disclosure is directed towards a web service that maintains a set of models used to generate plans, such as vacation plans, in which the set of models includes models that are authored by crowd contributors via the service. The models include rules, constraints and/or equations, and may be text based and declarative such that any author can edit an existing model or combination of existing models into a new model. Users can access the models to generate a plan according to user parameters, view a presentation of that plan, and interact to provide new parameters to the model and/or with objects in the plan to modify the plan and view a presentation of the modified plan.

Creating and Processing a Data Rule

A data rule is created and processed by receiving an expression defining a logic of a rule and at least one logical variable, creating a rule definition including the expression and the at least one logical variable for binding each logical variable of the rule with at least one column, associating a characteristic enabling comparison of columns with a first logical variable of the rule definition, and storing the characteristic as part of the rule definition.

Knowledge representation systems and methods incorporating data consumer models and preferences

Techniques for analyzing and synthesizing complex knowledge representations (KRs) may utilize an atomic knowledge representation model including both an elemental data structure and knowledge processing rules stored as machine-readable data and/or programming instructions. One or more of the knowledge processing rules may be applied to analyze an input complex KR to deconstruct its complex concepts and/or concept relationships to elemental concepts and/or concept relationships to be included in the elemental data structure. One or more of the knowledge processing rules may be applied to synthesize an output complex KR from the stored elemental data structure in accordance with context information. Methods of populating an elemental data structure and methods of synthesizing complex KRs from the elemental data structure may depend on user models, context information, preference information, and/or preference models.

Alert management system and method

A system and related method for automating alert decision-making in a computer network are disclosed. The system and method act to receive an alert request from an event management system, and then carries out operations using several sets of inference rules, associating the alert request to a generic conceptual data model of alert request and alert resolution. The generic model is specialized to represent the specific environment being monitored. The alert request is enriched with contextual and network information in order to generate one or several alert resolution actions.

Algorithm engine for use in a pattern matching accelerator

A pattern matching accelerator (PMA) for assisting software threads to find the presence and location of strings in an input data stream that match a given pattern. The patterns are defined using regular expressions that are compiled into a data structure comprised of rules subsequently processed by the PMA. The patterns to be searched in the input stream are defined by the user as a set of regular expressions. The patterns to be searched are grouped in pattern context sets. The sets of regular expressions which define the pattern context sets are compiled to generate a rules structure used by the PMA hardware. The rules are compiled before search run time and stored in main memory, in rule cache memory within the PMA or a combination thereof. For each input character, the PMA executes the search and returns the search results.

Segment optimization for targeted advertising

A system for generating behavior segments and serving targeted ads. The system generates variables based on data from targeted users, incorporates recency, frequency, and velocity for the variables; optimizes the variables; converts the variables into behavior segments; and saves the behavior segments to a database. The system updates the behavior segments in real time. When a publisher requests an ad call, the system generates a score for advertisements based on the user profile, multiplies the score by the amount each advertiser is willing to pay for serving their ad, selects the highest value, and serves the ad.

Information source alignment

An information source alignment system may include a tree generation module executed by a computer system to generate a source category hierarchy tree for a source class in a first information source and a target category hierarchy tree for a target class in a second information source. The source and target category hierarchy trees may be constructed from a class hierarchy of a knowledge source. A class-similarity determination module may compare the source and target category hierarchy trees. An alignment module may determine whether the source and target classes are aligned based on the comparison of the source and target category hierarchy trees.

Rule reasoner, and dynamic materialization method for wild pattern rules including the same

Rule reasoner includes: a Rete network builder for receiving ontology, including ontology instance represented by triple and ontology schema defining classes and properties of the triple, and reasoning rule, building Rete network corresponding to the ontology and the reasoning rule, selecting clue pattern corresponding to wild pattern rule with reference to the ontology schema when reasoning rule having wild pattern is received, rewriting the wild pattern rule with reference to the clue pattern, and adding test node, alpha memory node, and wild rule node so that the rewritten wild pattern rule is incorporated; a Rete network implementer for generating reasoned triple by implementing the Rete network built by the Rete network builder or generating reasoning rule where the wild pattern rule is dynamically materialized; and a Rete network expander expanding the Rete network by inputting the new reasoning rule, generated by the Rete network implementer, to the Rete network builder.

Optimizing computation of minimum cut in graphs with grid topology

Approaches for optimizing computation of minimum cut or maximum flow on graphs comprising a plurality of nodes and edges with grid-like topologies are disclosed. Embodiments exploit the regular structure of input graphs to reduce the memory bandwidth—a main bottleneck of popular max-flow/min-cut algorithms based on finding augmenting paths on a residual graph (such as Ford-Fulkerson [1956] or Boykov-Kolmogorov [2004]). Disclosed embodiments allow more than 200% speed-up without sacrificing optimality of the final solution, which is crucial for many computer vision and graphics applications. Method and system embodiments replace standard linked list representation of general graphs with a set of compact data structures with blocked memory layout that enables fixed ordering of edges and implicit branchless addressing of nodes. The embodiments are orthogonal to other optimizations such as parallel processing or hierarchical methods and can be readily plugged into existing min-cut/max-flow computation systems to further improve their performance.

Knowledge representation systems and methods incorporating customization

Techniques for analyzing and synthesizing complex knowledge representations may utilize an atomic knowledge representation model including an elemental data structure and knowledge processing rules stored as machine-readable data and/or programming instructions. The elemental data structure may include a universal kernel and one or more customized modules. The universal kernel may represent knowledge that is generally applicable to a population, and the customized modules may represent knowledge that is specifically applicable to individual data consumers. Crowd-sourcing techniques may be applied to the elemental data structure. A method of modifying the elemental data structure may include obtaining an indicator regarding an elemental component based on data associated with customized modules. The method may further include determining whether the indicator satisfies a criterion for performing a modification operation on the elemental data structure, and, based on the indicator satisfying the criterion, performing the modification operation on the elemental computer data structure.

Methods and Framework for evaluating and modeling of contextual exchange, contextual collaboration and sensational awareness

Methods and framework for modeling of an intelligent, contextual and sensationally aware cognition and sensory system, operating based on the principle of the harmonic theory, which herein after will be referred to as the “Harmonic System” 1- A method of evaluating a conformance of the characteristics manifested by a set of compositions according to a expressed criteria and characteristic model set by a system , the method comprising:determining conformance of the manifested characteristics against the expressed criteria and characteristic model; evaluating different transformation and arrangement of the compositions and their characteristics to yield better conformance to the expressed criteria and characteristic model; evaluating exchange of the compositions with other systems.2- The method of claim 1 , further comprising: detecting claim 1 , observing claim 1 , memorizing and reproducing referential characteristics manifested by the compositions in the environment claim 1 , constructing relational logical model of the characteristics and develop a virtual composition capable of manifesting characteristics according to the context and system's state.3- The method of claim 1 , further comprising: developing virtual awareness through constructing virtual compositions based on the referential characteristics deriving from the compositions of the system or external observed compositions.4- The method of wherein the system participates in exchange with other systems to exchange compositions claim 1 , in order to receive a composition or compositions claim 1 , the method further comprising: evaluating the exchange value by measuring the conformance of the characteristics of the candidate composition to the system's criteria and characteristic model.5- The method claim 1 , further comprising: simulating virtual scenarios based on modifying the existing referential characteristics or creating new referential characteristics to reduce risk and create new characteristic ...

INFORMATION PROVIDING APPARATUS FOR VEHICLE, AND METHOD THEREFOR

An information providing apparatus for vehicle has a remaining capacity detecting section that detects a remaining capacity of a battery; a power consumption amount detecting section that detects a power consumption amount of the battery; a power consumption amount history generating section that generates a power consumption amount history on the basis of the power consumption amount detected by the power consumption amount detecting section ; a charge necessity judgment information generating section that generates, on the basis of the power consumption amount history generated by the power consumption amount history generating section , charge necessity judgment information which is information for user's judgment about whether or not charging of the battery is necessary; and a providing section that provides information of the remaining capacity of the battery and the charge necessity judgment information with these information correlated with each other to the user. The information providing apparatus can properly provide the information for user's judgment about whether or not charging of the battery to the user. 1. An information providing apparatus for vehicle comprising:a remaining capacity detecting section that detects a remaining capacity of a battery;a power consumption amount detecting section that detects a power consumption amount of the battery;a power consumption amount history generating section that generates a power consumption amount history on the basis of the power consumption amount detected by the power consumption amount detecting section;a charge necessity judgment information generating section that generates, on the basis of the power consumption amount history generated by the power consumption amount history generating section, power consumption prediction information which is information for user's judgment about whether or not charging of the battery is necessary; anda providing section that provides both of information of the ...

Apparatus and Methods for an Application Process and Data Analysis

One aspect of the invention relates to a method of simplifying an application process. The method includes a series of steps that can be performed in any particular order. The steps include dividing the application process into a plurality of sub-processes, arranging a portion of the plurality of sub-processes in response to a scheme, collecting user profile data in responses to a plurality of queries, the queries selectively presented to the user in response to a branching logical hierarchy, generating a report in response to the profile data; and targeting information to a desired demographic of users in response to user profile data correlations. 111.-. (canceled)12. A method of supporting a user's application process to an educational institution , the method comprising the steps of:developing a profile for the user through a sequence of questions, the questions presented through a graphic user interface; presenting a set of possible answers to each question such that selection of a given answer triggers the next question in the sequence;correlating the answers to each question to an admission profile for the educational institution;selecting educational institutions for the user to apply to based on likelihood of success; and instructing the user with at least one of a strategy or a action item reminder to improve their likelihood of application acceptance.13. The method of claim 12 , wherein the relationship between the questions and answers is based on a set of college application process rules.14. The method of claim 12 , wherein the relationship between questions and answers is based on historical user profile data.15. The method of claim 12 , wherein the educational institution is a financial aid institution.16. The method of claim 15 , wherein the financial aid institution is a federal agency.17. A method of targeting a user participating in an application process claim 15 , the method comprising the steps of: generating a plurality of application process ...

Phased Whole Genome Genetic Risk In A Family Quartet

An embodiment of the present invention is a method for resolving long-range haplotype phase based on family pedigree data, inheritance state determination, and population linkage disequilibrium data. A method according to an embodiment of the present invention provides for the evaluation of genome wide risk using phased haplotype data. 1. A method for prioritizing genetic variants , comprising:generating annotate non-synonymous variants using at least one prediction algorithm;receiving annotated non-synonymous variant information;applying a rating schema based on the generated and received annotated non-synonymous variant information; andprioritizing genetic variants responsive to the rating schema.2. The method of claim 1 , wherein the generated and received annotated information includes phenotype-level information about variants in genes associated with Mendelian-diseases.3. The method of claim 1 , wherein the generated and received annotated information includes information about variant pathogenicity.4. The method of claim 1 , wherein the prioritized genetic variants are used to identify single gene disorders.5. The method of claim 1 , wherein the rating schema includes at least factors for lifetime risk and severity for at least one disease.6. The method of claim 1 , wherein the prioritized genetic variants are used to identify genetic mutations.7. The method of claim 6 , wherein the mutations are damaging mutations.8. The method of claim 6 , wherein the mutations are benign mutations.9. The method of claim 1 , wherein the prioritized genetic variants are used to determine health risk assessments.10. The method of claim 1 , further comprising applying the rating shema to a Mendelian inheritance database.11. A computer-readable medium including instructions that claim 1 , when executed by a processing unit claim 1 , cause the processing unit to prioritize genetic variants claim 1 , by performing the steps of:generating annotate non-synonymous variants using at ...

Enhanced Artificial Intelligence Language

A method of determining an appropriate response to an input includes linking a plurality of attributes to a plurality of response templates using a plurality of Boolean expressions. Each attribute is associated with a set of patterns. Each pattern within the set of patterns is equivalent. The method also includes determining an appropriate response template from the plurality of response templates based on the input. 1. A method of determining an appropriate response to an input , comprising:linking a plurality of attributes to a plurality of response templates using a plurality of Boolean expressions, each attribute associated with a set of patterns, each pattern within the set of patterns being equivalent; anddetermining an appropriate response template from the plurality of response templates based on the input.2. The method of claim 1 , wherein determining comprises:performing an initialization.3. The method of wherein linking the plurality of attributes to the plurality of response templates comprises:forming a megacategory,wherein the megacategory links a combination of attributes to one of the plurality of response templates using one of the plurality of Boolean expressions.4. The method wherein linking the plurality of attributes to the plurality of response templates comprises:forming a megacategory,wherein the megacategory links one attribute to one of the plurality of response templates.5. The method of wherein the combination of attributes using one of the plurality of Boolean expressions comprises:a name for each attribute in the combination; andan operator.6. The method of wherein the operator is an AND operator.7. The method of wherein the megacategory comprises:a hierarchy of levels in matching the megacategory to the input.8. The method of claim 3 , further comprising:grouping a plurality of megacategories into a topic having a topic name; andadding a topic variable to one of the plurality of response templates.9. The method of claim 8 , further ...

AGREEMENT BREACH PREDICTION SYSTEM, AGREEMENT BREACH PREDICTION METHOD AND AGREEMENT BREACH PREDICTION PROGRAM

In order to improve the prediction accuracy of a service level agreement breach, an agreement breach prediction system includes: a probability distribution calculation unit that calculates a probability distribution of a measured value for each event; a probability calculation unit that calculates, for each event, a probability that applies to an SLA breach and a probability that does not applies to an SLA breach; an SLA distribution calculation unit that calculates a probability density of a measured value corresponding to the SLA breach; and a breach occurrence probability calculation unit that, when the event occurs, calculates a probability that the SLA breach occurs within the predefined time after the occurrence of the event, by using the respective probabilities corresponding to the event, and the respective probability densities corresponding to the measured values at the time of event occurrence. 1. An agreement breach prediction system , comprising:a probability distribution calculation unit that, for each of events that occur in a target system of a service level agreement, calculates a probability distribution of a measured value of a service item included in the service level agreement, on the basis of event information relating to the event and of measured value information relating to the measured value;a probability calculation unit that refers to the probability distribution calculated by the probability distribution calculation unit and to an agreement threshold value of the service item, and that calculates, for each of the events, a probability that applies to a service level agreement breach and a probability that does not apply to the service level agreement breach;a probability density calculation unit that refers to the measured value information, and calculates a probability density of the measured value that applies to the service level agreement breach during a period of time from event occurrence until a predefined time has elapsed, and a ...

ONLINE FRAUD PREVENTION USING GENETIC ALGORITHM SOLUTION

Online fraud prevention including receiving a rules set to detect fraud, mapping the rules set to a data set, mapping success data to members of the rules set, filtering the members of the rules set, and ordering members of the data set by giving priority to those members of the data set with a greater probability for being fraudulent based upon the success data of each member of the rule set in detecting fraud. Further, a receiver coupled to an application server to receive a rules set to detect fraud, and a server coupled to the application server, to map the rules set to a data set, and to map the success data to each members of the rules set. The server is used to order the various members of the data set by giving priority to those members of the data set with a greatest probability for being fraudulent. 1. A system comprising:a receiver to receive a set of rules for use in detecting fraudulent transactions;a server, operatively connected to the receiver, the server to identify a set of accounts captured by the respective rules based on the detected fraudulent transactions and to generate a new rule set based on an intersection of at least two of the respective rules, the new rule set to identify fraudulent accounts based on a series of transaction.2. The system of claim 1 , wherein the server is further to generate a tree-form based on the new rule set.3. The system of claim 1 , wherein the server is further to generate a set of hash tables based on the new rule set.4. The system of claim 1 , wherein the server is further to calculate a success rate of the new rule set in identifying the fraudulent accounts.5. The system of claim 4 , wherein the server is further to remove the new rule set if the success rate is below a predefined threshold.6. The system of claim 5 , wherein the removed new rule set is used for the purpose of accruing a hit rate.7. The system of claim 6 , wherein the server is further to re-activate the removed new rule set based on a ...

ARCHITECTURE AND METHODS FOR TOOL HEALTH PREDICTION

Computer-implemented methods and systems for tool health prediction for a tool having sub-systems and components are disclosed. The method includes providing parameter values from sensors to an expert system. The method also includes providing knowledge base data from a knowledge base to the expert system. The knowledge base includes at least one of tool history, part information, domain knowledge, and model history. The method also includes generating, using the expert system, at least one tool health prediction pertaining to tool maintenance. The prediction generation employs a set of prediction models that includes at least one prediction model. The prediction generation further employs at least the parameter values and the knowledge base data. 1. A computer-implemented method for tool health prediction for a tool , said tool comprising sub-systems and components , said computer-implemented method comprising:providing parameter values from sensors to an expert system, said parameter values pertaining to tool parameters of interest for said tool health prediction;providing knowledge base data from a knowledge base to said expert system, said knowledge base including at least one of tool history, part information, domain knowledge, and model history; andgenerating, using said expert system, at least one tool health prediction pertaining to tool maintenance, said generating employing a set of prediction models that includes at least one prediction model, said generating further employing at least said parameter values and said knowledge base data.2. The computer-implemented method of further comprising validating said at least one prediction model utilized by said expert system in generating said at least one tool health prediction claim 1 , said validating employing both said at least one tool health prediction and actual tool health data.3. The computer-implemented method of wherein said parameter values include parameter values from virtual sensors.4. The ...

Device for Monitoring the Lateral Environment of a Vehicle

A device for monitoring the lateral environment of a vehicle. The device includes an evaluation and control unit and at least one predictive sensor unit. The evaluation and control unit have at least one interface, which receives signals from the at least one predictive sensor unit, and an arithmetic unit which is coupled to the at least one interface and analyses signals from the at least one predictive sensor unit for detecting an object in a lateral monitoring region and for determining information about the detected object. The at least one predictive sensor unit is a low-cost sensor unit, and at least two predictive sensor units, which have overlapping monitoring regions, are disposed at a distance from each other on each vehicle side. 110-. (canceled)11. A device for monitoring a lateral environment of a vehicle , comprising:at least one predictive sensor: andan evaluation and control unit, the evaluation and control unit including at least one interface which receives signals from the at least one predictive sensor unit, and an arithmetic unit which is coupled to the at least one interface and analyzes signals from the at least one predictive sensor unit for detecting an object in a lateral monitoring region and for determining information about the detected object;wherein the at least one predictive sensor unit is a low-cost sensor unit, and at least two predictive sensor units are situated on each vehicle side at a distance from each other and have overlapping monitoring regions.12. The device as recited in claim 11 , wherein the at least one predictive sensor unit at least one of: i) has a range of approximately 2 to 10 m claim 11 , ii) has a wide opening angle in a range of 120 to 170° claim 11 , and iii) is able to be scanned at a data rate of approximately 1 to 2 kHz.13. The device as recited in claim 11 , wherein each of the at least one predictive sensor units is a single-chip radar sensor claim 11 , and one predictive sensor unit is disposed on each ...

SYSTEM FOR PREDICTING A DRIVER'S INTENTION TO CHANGE LANES

Provided is a system for predicting a driver's intention to change lanes at a high accuracy involving a minimum amount of time delay. A driver's intention to change lanes is predicted by a prediction unit () by comparing motivators and inhibitors () which may be determined from the speed of the traffic in particular the vehicle traveling ahead of the vehicle and the traffic in the adjacent lanes in relation to the traveling speed of the ego vehicle by using an ego vehicle sensor () and an environmental sensor () that may comprise a radio wave, optical or acoustic radar. The criteria for the motivators and inhibitors may be empirically or statistically determined, preferably by conducting a large number of tests on roads. As they can be determined before the vehicle operator starts a lane changing maneuver, the prediction made by the prediction unit may be used on a real time basis in a warning system or steering/acceleration assist system. 16-. (canceled)7. A system for predicting a driver's intention to change lanes , comprising:an ego vehicle sensor for detecting information on a motion of an ego vehicle;an environment sensor for detecting information on a motion of a vehicle traveling within a prescribed distance ahead of the vehicle in a same lane as the ego vehicle and/or on a motion of a vehicle traveling within a prescribed distance from the ego vehicle in an adjacent lane;a motivator computing unit for computing a motivator indicating a driver's intention to change lanes from the current lane to the adjacent lane according to outputs of the ego vehicle sensor and environment sensor;an inhibitor computing unit for computing an inhibitor indicating of a driver's intention not to change lanes from the current lane to the adjacent lane according to the outputs of the ego vehicle sensor and environment sensor; anda prediction unit for predicting the driver's intention to change lanes by comparing outputs of the motivator computing unit and inhibitor computing ...

Minimizing rule sets in a rule management system

A method, system and computer program product for minimizing a rule set. A rule set application graph that describes a set of rules including actions and cases is built, whereby each rule defines an action for one or more cases. A rule violation graph for each rule describing the actions and cases not defined for that rule is built. A subset of rules having a reduced number of rules with the same set of actions and cases as the rule set application graph is determined by exploring candidate subsets of the rule set that are sufficient for reproducing the behavior of the original rule set.

Decision Tree Level Merging

A packet classification system, methods, and corresponding apparatus are provided for enabling packet classification. A processor of a security appliance coupled to a network uses a classifier table having a plurality of rules, the plurality of rules having at least one field, to build a decision tree structure including a plurality of nodes, the plurality of nodes including a subset of the plurality of rules. By merging levels of decision trees, the methods may produce wider, shallower trees that result in shorter search times and reduced memory requirements for storing the trees. 1. A method comprising:using a classifier table having a plurality of rules, the plurality of rules having at least one field, building a decision tree structure including a plurality of nodes, each node representing a subset of the plurality of rules;determining for each level of the decision tree whether to merge grandchildren of a parent node with child nodes of the parent node based on a merge resulting in a total number of child nodes of the parent node not being more than a given threshold;merging at each level the grandchildren of the parent node with child nodes of the parent node based on the determination; andstoring the decision tree structure.2. The method of wherein merging at each level includes merging cuts of each child node into cuts of the parent node resulting in new child nodes of the parent node.3. The method of further wherein each parent node has been cut on a first field set of one or more fields of the at least one field resulting in the child nodes of the parent node claim 2 , and each child node has been cut on a second field set of one or more fields of the at least one field resulting in the grandchildren of the parent node claim 2 , and further wherein merging cuts of each child node into cuts of the parent node includes: (i) a first set of one or more bits of the respective field, the first set of one or more bits being a first set of all bits of the ...

SYSTEMS AND METHODS OF PREDICTING A SUBJECT'S MEDICAL OUTCOME

Disclosed are methods of constructing systems for predicting a subject's medical outcome. Also disclosed are methods and systems for predicting a subject's medical outcome. The disclosed methods and systems can include identifying a group of subjects with the same medical condition and classifying this group of subjects into one or more subgroups. The subgroups are classified based on similarity of medical outcome, using classification and regression trees (CART) to generate a classification tree based on the presence of identifying genetic characteristics. Each node in the classification tree describes the presence of a specific genetic marker and each branch in the classification tree describes a genetic profile that predicts a subject's medical outcome. 1. A method of constructing a system for predicting a subject's medical outcome , comprising:identifying a group of subjects with the same medical condition;classifying the group of subjects with the same medical condition into one or more subgroups, wherein the one or more subgroups are classified based on similarity of medical outcome, using classification and regression trees (CART) to generate a classification tree based on the presence of identifying genetic characteristics and wherein each node in the classification tree describes the presence of a specific genetic marker and each branch in the classification tree describes a genetic profile that predicts a subject's medical outcome.2. A method for predicting a subject's medical outcome , comprising:identifying a subject with a medical condition or at risk of acquiring a medical condition;predicting the subject's medical outcome by comparing the subject's genetic profile with a set of control genetic profiles, wherein the control genetic profiles are generated from a group of subjects with the same disease using classification and regression trees (CART) based on the presence of identifying genetic characteristics and wherein each node in the classification ...

Method for determining a preferred node in a classification and regression tree for use in a predictive analysis

Techniques are described for determining what node of a classification and regression tree (CART) should be used by a predictive analysis application. A first approach is to use a standard deviation of the data at a given the level of the CART to determine whether data in the next, lower node is more consistent than the data in the current node. A second approach is to measure a correlation between data points in a given node and the time at which each point was sampled (or other correlation metric) to identify a preferred node.

SYSTEM FOR RECOMMENDING ADVICE BASED ON USER PSYCHOLOGY INDEX

The present invention relates to a system for determining a user psychology index based on user situation information and user profile information and recommending an advice needed for a user according to the determined psychology index. 1. An advice recommendation system comprising:a user information collection unit for collecting user situation information and user profile information;a user information management unit for comparing the collected user situation information with user situation information previously stored in a user information database, and if the collected user situation information is different from the previously stored user situation information, calculating a user psychology index corresponding to the collected user situation information from an answer to a questionnaire inputted by a user, the collected user situation information and the user profile information, and storing the calculated user psychology index in the user information database;an advice determination unit for, if new user situation information is collected, searching for a user psychology index matching to the newly collected user situation information from the user information database and determining whether a unit advice level of the searched user psychology index corresponds to a discard level or an advice level; andan advice providing unit for searching for an advice corresponding to the determined unit advice level, the user profile information and the newly collected user situation information from an advice database and outputting the searched advice to the user.2. The advice recommendation system according to claim 1 , wherein the user situation information comprises user position information obtained from a GPS claim 1 , user environment information such as illuminance claim 1 , humidity claim 1 , noise and temperature received from environment detection sensors claim 1 , user scheduling information claim 1 , information on the user's activity amount received from ...

PRIORITIZING BRIDGES TO REPAIR BASED ON RISK

Embodiments of the invention are generally directed toward methods, systems, and computer-readable media for prioritizing bridge repairs using a risk-based analysis. An overall risk factor is generated for each of a plurality of bridges. The overall risk factor represents the probability of failure times the consequence on failure for the bridge. Repairs to bridges that pose a greater risk may be prioritized before repairs made to bridges posing a lower risk. 1. Computer-readable media having computer-executable instructions embodied thereon that , when executed , cause a computing device to perform a method of calculating a risk of not repairing a bridge , the method comprising:generating a bridge-condition risk factor for the bridge based on an average structural condition of bridge elements;generating a probability-of-failure factor for the bridge that is determined using the bridge-condition risk factor;generating a consequence-of-failure factor for the bridge;generating an overall risk factor for the bridge that is a product of multiplying the consequence-of-failure factor for the bridge and the probability-of-failure factor for the bridge; andstoring the overall risk factor for the bridge in a data store.2. The media of claim 1 , wherein the method further comprises:generating a live-load-risk factor for a bridge based on an overload probability and an operating rating, wherein the probability-of-failure factor is generated by combining the live-load-risk factor for the bridge with the bridge-condition risk factor for the bridge.3. The media of claim 2 , wherein the overload probability is based on an average daily truck traffic carried by the bridge claim 2 , wherein the operating rating is one or more of an entry retrieved from a database describing bridge characteristics claim 2 , calculated based on a design load and based on a bridge posting.4. The media of claim 2 , wherein the probability-of-failure factor and the live-load-risk factor is combined by ...

Automated Entity Identification for Efficient Profiling in an Event Probability Prediction System

A computer-implemented method and system for automated entity identification for efficient profiling in an event probability prediction system. A first subset of entities belonging to one or more entity classes is defined. At least one historical profile is constructed for each entity in the subset of entities based on a set of possible outcomes of transaction behavior of each entity in the first subset of entities. Based on the historical profiles, a second subset of entities having transaction behavior associated with a transaction is selected, the transaction behavior being predictive of at least one targeted outcome from the set of possible outcomes. The first subset of entities is redefined with the second subset of entities. 1. A computer-implemented method comprising:generating, by the one or more data processors, a historical profile for each entity in a first subset of entities, the historical profile being based on a set of possible outcomes of transaction behavior of each entity, the first subset of entities belonging to one or more entity classes;selecting, by the one or more data processors, a second subset of entities based on the historical profiles, each entity in the second subset of entities having transaction behavior predictive of at least one targeted outcome from the set of possible outcomes of transaction behavior;generating, by the one or more data processors, a historical profile for each entity in the second subset of entities;combining, by the one or more data processors, the second subset of entities with the first subset of entities to generate a third subset of entities; andmonitoring, by the one or more data processors, the historical profiles for the third set of entities for transaction behavior indicative of a fraud process.2. The computer-implemented method of claim 1 , wherein the targeted outcome is selected from the set of possible outcomes that consists of a desirable outcome and an undesirable outcome.3. The computer- ...

PROCEDURAL CONSTRAINT ENGINE FOR PRODUCT CONFIGURATION

Various systems and methods for integrating procedural logic with a stateless constraint engine are disclosed. One method involves accessing a first set of values generated by a stateless constraint engine based upon a first set of inputs and then accessing a second set of values generated by the stateless constraint engine subsequent to the first set of values and based upon a second set of inputs. The second set of values is validated based upon a procedural constraint. The procedural constraint can include a precondition and a postcondition. The precondition is dependent upon at least one value from the first set of values, and the postcondition is dependent upon at least one value from the second set of values. 1. A method comprising:accessing a first set of values generated by a stateless constraint engine, wherein the first set of values are generated based upon a first set of inputs to the stateless constraint engine;accessing a second set of values generated by the stateless constraint engine, wherein the second set of values are generated subsequent to generation of the first set of values, and wherein the second set of values are generated based upon a second set of inputs to the stateless constraint engine; andvalidating the second set of values based upon a precondition and a postcondition, wherein the precondition is dependent upon at least one value from the first set of values, and wherein the postcondition is dependent upon at least one value from the second set of values.221.-. (canceled) This application claims the benefit under 35 U.S.C. §119 (e) of U.S. Provisional Application No. 60/981,439, filed Oct. 19, 2007, entitled “Procedural Constraint Engine,” and naming Muralidhara Varmaraja, Eugene Chikovani, and Ashfaq A. Jeelani as inventors. The above-referenced application is hereby incorporated by reference herein in its entirety as if completely and fully set forth herein.This invention relates to constraint engines and, more particularly, to ...

Rule correlation to rules input attributes according to disparate distribution analysis

Embodiments of the present invention provide a method, system and computer program product for visualizing rule input attributes with a rule according to disparate rule attribute distributions. In an embodiment of the invention, a method for visualizing rule input attributes with a rule according to disparate rule attribute distributions has been provided. The method includes identifying in response to a selection of a rule for viewing in a rule viewer an input for the selected rule and determining an attribute for the input. However, attributes present in a guard for the selected rule can be excluded. The method also can include computing a global distribution of the attribute irrespective of the identified input and a specific distribution for the identified input. Thereafter, the attribute can be flagged as being correlated with the selected rule when it is determined that a sufficient disparity exists between the global distribution and the specific distribution.

SYSTEM AND METHOD FOR RENDERING DECISION SUPPORT INFORMATION TO MEDICAL WORKERS

Decision support information rendering systems and processes. A request for pre-authorization of a medical procedure for a medical condition is received. Data describing the request for pre-authorization is received. A recommendation regarding approval of the request for pre-authorization is received, the recommendation being generated by evidence based decision intelligence system. 1. A computer-implemented method comprising:receiving a request for pre-authorization of a medical procedure for a medical condition;receiving data describing the request for pre-authorization; andreceiving a recommendation regarding approval of the request for pre-authorization, the recommendation being generated by an evidence based decision intelligence system.2. The method of wherein the evidence based decision intelligence system generates the recommendation based on medical evidence related to the medical procedure.3. The method of further comprising:receiving, in connection with the recommendation, data describing evidence in support of the recommendation.4. The method of wherein the evidence based decision intelligence system generates the recommendation based on policies and guidelines related to the medical procedure.5. The method further comprising:receiving, in connection with the recommendation, data describing policies and guidelines associated with the recommendation.6. The method of further comprising:receiving feedback regarding the recommendation from a medical worker.7. The method of wherein the data describing the request for pre-authorization comprises a case identifier associated with the medical condition claim 1 , a data of service relating to the medical condition claim 1 , a diagnostic code associated with the medical condition claim 1 , and a procedure code associated with the medical procedure.8. The method of claim 1 , wherein the recommendation is incomplete claim 1 , the method further comprising:receiving from a medical worker a request to refer to the ...

System and method for analyzing attribute change impact within a managed network

A method and system for analyzing attribute change impact within a managed network by analyzing an attribute modification according to one or more rules to determine thereby a negative impact level associated with the attribute modification, where the rules include rules initially identified as relevant to the attribute and rules deterministically identified as relevant to said attribute.

Behavioral Fingerprinting Via Derived Personal Relation

Disclosed herein are example embodiments for behavioral fingerprinting via derived personal relation. For certain example embodiments, at least one indication of personal relation for at least one authorized user may be derived via at least one user-device interaction, and the at least one indication of personal relation may be incorporated into at least one behavioral fingerprint that is associated with the at least one authorized user, the at least one behavioral fingerprint including one or more indicators of utilization of one or more user devices by the at least one authorized user. 1. A method for behavioral fingerprinting via derived personal relation , the method being at least partially implemented by a device , the method comprising:deriving at least one indication of personal relation for at least one authorized user via at least one user-device interaction; andincorporating the at least one indication of personal relation into at least one behavioral fingerprint that is associated with the at least one authorized user, the at least one behavioral fingerprint including one or more indicators of utilization of one or more user devices by the at least one authorized user.2. The method of claim 1 , wherein the deriving at least one indication of personal relation for at least one authorized user via at least one user-device interaction comprises:monitoring one or more internet destinations visited by at least one user.3. The method of claim 2 , wherein the monitoring one or more internet destinations visited by at least one user comprises:monitoring the one or more internet destinations visited by at least one user via at least one browser.4. The method of claim 3 , wherein the monitoring the one or more internet destinations visited by at least one user via at least one browser comprises:monitoring the one or more internet destinations visited by at least one user using one or more browser modules.5. The method of claim 4 , wherein the monitoring the one or ...

Fast update filter

A method may include defining a filter for a network device, the filter including a rule and a particular number of prioritized fields, where at least one of the prioritized fields is formatted to accept input as a range of values. The method may also include receiving a rule modification for the filter, the rule modification including at least one input as a range of values, and performing a check for conflicts of the rule modification with the rule in the filter. The method may further include expanding the input range of values to form multiple rules equivalent to the rule modification with the input range of values, establishing backtracking links to integrate the multiple rules with the existing rule, and adding the multiple rules to the filter.

METHOD AND SYSTEM FOR ELECTRIC VEHICLE ADOPTION SIMULATION WITH REASONING

A method and system for an agent-based evidential reasoning decision computer system for determining an adoption rate of a trend is provided. The system includes a plurality of nodes arranged in a tree structure. The plurality of nodes define an evidential reasoning algorithm where lower level nodes receive factors to be considered in the decision and each node assigns a likelihood of an outcome of the received factors, and generates an output to a subsequent higher level node or root of the tree structure. The system also includes a plurality of agent models organized in a hierarchical structure, each agent model comprising a respective set of the plurality of nodes and an output of the agent model, each agent model representing a member of a population, and an aggregator algorithm configured to combine the outputs of the plurality of agent models to generate an output representing an adoption rate. 1. An agent-based evidential reasoning decision computer system for determining an adoption rate of a trend , the system comprising a processor and a computer-readable storage device having encoded thereon computer-executable instructions that are executable by the processor to perform functions , the system further comprising:a plurality of nodes arranged in a tree structure, a topology of the tree structure determined by a subject matter expert in an area of the decision, the topology defining a hierarchy of the tree structure and an interconnection of the nodes, the plurality of nodes defining an evidential reasoning algorithm where lower level nodes receive factors to be considered in the decision, each node assigns a likelihood of an outcome of the received factors, and generates an output to a subsequent higher level node or root of the tree structure;a plurality of agent models organized in a hierarchical structure, each agent model comprising a respective set of the plurality of nodes and an output of the agent model, each agent model representing at least one ...

SYSTEM AND METHOD FOR PRECACHING INFORMATION ON A MOBILE DEVICE

A system and method for precaching information on a mobile device. A precaching strategy is built for a mobile device. The strategy defines a forecast of data types a user is predicted to request after the occurrence of one or more data refresh conditions. The precaching strategy is built by recognizing data usage patterns in data requested by the user or a group of users over a time period. The data usage pattern comprises data types and events that are correlated to the usage of the data. The events are used to define at least one refresh condition within the precaching strategy. The precaching strategy is executed. When the occurrence of the data refresh condition is detected, data is then retrieved from a data source, wherein the data is retrieved according to the precaching strategy. The retrieved data is transmitted to a user device cache. 124-. (canceled)25. A method comprising:building, by a computing device, a precaching strategy for a mobile device, to define a forecast of a data type a user is predicted to request after occurrence of a data refresh condition, the precaching strategy being built by recognizing, by the computing device, a data usage pattern in data requested by the user using the mobile device over a time period, the data usage pattern comprising the data type and an event that is correlated to the usage of the data, the event used to define the refresh condition within the precaching strategy;executing, by the computing device, the precaching strategy;detecting, by the computing device, that the data refresh condition has occurred;retrieving, by the computing device over a network, data from a data source, wherein the retrieved data is retrieved according to the precaching strategy; andtransmitting, by the computing device over the network, the retrieved data to a mobile device cache accessible to an application program executing on the mobile device.26. The method of wherein the data usage pattern is obtained from the user's social ...

SERVICE MODELING IMPACT ANALYSIS

A computer system includes a plurality of computer processor dependent nodes and a plurality of computer processor antecedent nodes. Each node includes a severity value relating to an operational state of the node. A dependent node and an antecedent node pair include a significance value relating to a criticality that the antecedent node has to its paired dependent node. The antecedent node comprises a relevance value, wherein the relevance value is a function of the severity value of the antecedent node and the significance value for the antecedent node and the dependent node. The relevance value is used to determine an impact that the antecedent node has on the paired dependent node. 1. A computer system comprising:a plurality of computer processor dependent nodes;a plurality of computer processor antecedent nodes; andrelationships between the antecedent nodes and the dependent nodes;wherein the relationships comprise an aggregate relationship, a required relationship, a bound relationship, and a depends on relationship;wherein each node comprises a severity value relating to an operational state of the node;wherein a dependent node and an antecedent node pair comprise a significance value relating to a criticality that the antecedent node has to its paired dependent node;wherein the antecedent node comprises a relevance value, wherein the relevance value is a product of the severity value of the antecedent node multiplied by the significance value for the antecedent node and the dependent node; andwherein the relevance value is used to determine an impact that the antecedent node has on the paired dependent node.2. The computer system of claim 1 , wherein the relevance value is propagated from the plurality of antecedent nodes through the plurality of dependent nodes.3. The computer system of claim 2 , wherein an alert is issued as a function of the propagated relevance value.4. The computer system of claim 1 , the relationships comprising a factor in determining ...

PRIORITIZING REPAIR OF BRIDGES AND BRIDGE SECTIONS

Embodiments of the invention are generally directed toward methods, systems, and computer-readable media for prioritizing bridge repairs. A bridge score is generated that represents various factors such as conditions, load issues, risk of failure, and importance. Repairs to bridges or bridge segments that pose a greater risk may be prioritized before repairs made to bridges posing a lower risk. 1. Computer-readable media storing computer-executable instructions that , when executed , cause a computing device to perform a method of prioritizing repair of a simple-span bridge , the method comprising:generating a condition score of a segment of the simple-span bridge based on a mathematical combination of condition ratings of bridge elements included in the segment;generating a load-rating score of the segment that is based on an equipment score of a load case that is adjusted by a percentage of traffic associated with the load case;generating a segment prioritization score of the segment that indicates a priority of repairing the segment and that is based on a combination of the condition score and the load-rating score; andstoring the segment prioritization score in a data store.2. The media of claim 1 , wherein the mathematical combination includes weighting each condition ratings to generate condition scores of each bridge element.3. The media of claim 1 , wherein the condition score and the load-rating score are weighted when the segment prioritization score is generated.4. The media of claim 1 , wherein the method further comprises generating a risk score of the segment and generating an importance score of the segment claim 1 , and wherein the segment prioritization score is further comprised of the risk score of the segment and the importance score of the segment.5. The media of claim 4 , wherein the risk score of the segment is based on one or more flags associated with the segment.6. The media of claim 1 ,wherein the method further comprises comparing the ...

DETECTING DISALLOWED COMBINATIONS OF DATA WITHIN A PROCESSING ELEMENT

Techniques are described for detecting disallowed combinations of data within a processing element. Embodiments of the invention may generally receive data to be processed using the processing element and determine whether the received data and a current working state violate one or more rules describing disallowed combinations of data. If a disallowed combination is detected, embodiments of the invention may handle the processing of the received data in an alternate way that prevents disallowed combinations of data within the processing element. 1. A method of detecting disallowed combinations of data within a first processing element , comprising:receiving data to be processed;identifying one or more rules describing predetermined combinations of data within the first processing element;determining a current working state of the first processing element, wherein the current working state comprises other data being processed on the first processing element and other data accessible by the first processing element; anddetermining whether the received data and the determined current working state violate any of the one or more rules, by operation of one or more computer processors.2. The method of claim 1 , further comprising:upon determining that the combination of the received data and the determined current working state violates at least one of the one or more rules, processing the received data on a second processing element.3. The method of claim 2 , wherein the received data is part of a data stream claim 2 , and further comprising:upon determining that the combination of the received data and the determined current working violates at least one of the one or more rules, processing all subsequently received data from the data stream on the second processing element.4. The method of claim 1 , further comprising:upon determining that the combination of the received data and the determined current working violates at least one of the one or more rules, discarding ...

POWER PROVISION BASED ON SELF-SACRIFICING CRAFT

A biologically-inspired system and method is provided for self-adapting behavior of swarm-based exploration missions, whereby individual components, for example, spacecraft, in the system can sacrifice themselves for the greater good of the entire system. The self-sacrifice can involve donating resources or assets, such as power provisions, to a different component of an autonomous system. A receiving component of the system can benefit from receiving the donated resource or power provision. 1. An autonomic system , the autonomic system comprising:a plurality of autonomic components, the plurality of autonomic components comprising a coordinating autonomic component and a plurality of autonomic worker components, each autonomic component of the plurality of autonomic components being programmed to (i) generate signals indicative of one or more triggering events, (ii) send the signals to the coordinating autonomic component, and (iii) decide to undergo a self-sacrifice procedure based on the occurrence of at least one of the one or more triggering conditions,wherein the coordinating autonomic component is programmed to assign programmed tasks and issue instructions to each of the plurality of autonomic worker components, each of the autonomic worker components comprises one or more resources, and, following at least one or more triggering conditions, at least one of the autonomic components of the plurality of autonomic components donates one or more of its resources to one of the other autonomic components of the plurality of autonomic components.2. The autonomic system of claim 1 , wherein the one or more triggering events comprises one or more of:an incorrect operation;a determination of likelihood of jeopardizing a primary objective;a failure to perform a self-configuration operation;a failure to perform a self-healing operation;a failure to perform a self-optimizing operation;a failure to perform a self-protecting operation; anda need to provide a resource to a ...

Methods and Systems for Collaborative Formulation and Solution of Problems

Methods and systems for computationally solving problems are disclosed. A problem can be specified using a computing device. The problem can include at least an initial state and a plurality of operators. Each operator of the plurality of operators can be configured to transform an input state to an output state. The computing device can set a current state of the problem to the initial state. The computing device can generate a display of at least the current state and at least one operator of the plurality of operators. The computing device can receive an input specifying a first operator of the plurality of operators. After receiving the input, the computing device can use the first operator to transform the current state to a transformed state. The computing device can store the transformed state. 18-. (canceled)9. A system for problem solving , comprising:means for creating an instance of a problem, wherein the problem is formulated as a structure comprising (i) a specification for creating an initial state and (ii) a specification for each of a plurality of operators;means for realizing the initial state of the problem using the specification for creating the initial state; andmeans for applying an operator of the plurality of operators to the initial state during a problem-solving session, wherein the problem-solving session can be accessed by a plurality of entities concurrently.10. The system of claim 9 , wherein the means for applying the operator of the plurality of operators generates an intermediate state.11. The system of claim 10 , wherein the means for applying the operator of the plurality of operators comprises means for applying the operator of the plurality of operators to the intermediate state.12. The system of claim 9 , further comprising:means for associating one or more entities during the problem-solving session.13. The system of claim 12 , further comprising:means for associating a role of a plurality of roles to each of the one or more ...

HEALTH AND FITNESS MANAGEMENT SYSTEM

A health and fitness management system is provided that has a health and fitness application operating, e.g., on a smart phone, that can wirelessly communicate with an activity module worn on the user which has an accelerometer. The application accepts food and weight inputs (e.g., from the smart phone) and user activity units (e.g., from the activity unit) and develops a user intrinsic metabolism. The application includes fitness arc and health quotient graphical indicators that guide the user on health and fitness activities. 1. A fitness management method comprising:collecting food intake information for actual or expected food intake of a user over a first period of time and converting the food intake information into food intake units for the first period of time;collecting activity information for actual or expected activity by the user over the first period of time and converting the activity information into activity units for the user for the first period of time;collecting weight information representing a change in weight of the user over the first period of time;calculating, via a computing device, a calculated intrinsic metabolic rate for the user for the first period of time;collecting food intake information for actual or expected food intake of a user over a second period of time and converting the food intake information into food intake units for the second period of time;collecting activity information for actual or expected activity of a user over the second period of time and converting the activity information into activity units for the second period of time;calculating, via the computing device, a predicted change in weight for the second period of time based upon the calculated intrinsic metabolic rate for the user over the first period of time;collecting weight information representing an actual change in weight of the user over the second period of time;comparing the predicted change in weight for the second period of time to the actual ...

INNOVATION EXPERT SYSTEM, IES, AND ITS PTR DATA STRUCTURE, PTR-DS

The claimed Innovation Expert System, IES, and for a given innovation/invention the claimed Data Structure DS—structurally being the same for any innovation/invention—meet two kinds of functional requirements. They support: 3) A method according to or , being subject to the additional limitation that for all dis(y) and J(dis(y)) of Y holds that they comprise {all doc.0-MUIs disclosing Y} respectively {all doc.CT-MUIs justifying dis(y)}.4) A method according to or , subject to the additional limitation that PTR-DS comprises for all BID-AC-concepts all SoJ(qcc(AC))-concepts.5) A method according to or , being subject to the additional limitation that its restart due to an incremental change of an item interactively performed by the user may reuse a part of the PTR-DS generated prior to this change.6) A method according to or , being subject to the additional limitation that the PTR-DS is implemented as one or several data objects on one or several computer systems.7) A method according to or , being subject to the additional limitation that the user may toggle anytime between several PTR-DSes based on different document.CTs.8) A method according to or , being subject to the additional limitation that at least one normally interactively performed step (a)-(k) of generating PTR-DS is performed automatically.9) A method according to or , being subject to the additional limitation that user-defined “technical-secondary-fact”-items of PTR's TT.0 may be introduced in the PTR-DS generation as additional items.10) A method according to or , being subject to the additional limitation that the generated PTR-DS comprises provisions for monitoring , accounting , and reporting about a range of modes of using its concepts.13) An apparatus according to or , being subject to the additional limitation that for all dis(y) and J(dis(y)) of Y holds that they comprise {all doc.0-MUIs disclosing Y} respectively {all doc.CT-MUIs justifying dis(y)}.14) An apparatus according to or , being ...

GENERAL MARKET PREDICTION USING POSITION SPECIFICATION LANGUAGE

Methods evaluating propositions about timeseries are provided. A service accepts a proposition about one or more timeseries, and the service monitors those timeseries. A proposition can reference multiple timeseries with different time intervals and different units. When new data is available, the service evaluates the proposition to determine if the proposition is true, false, or neither. The service automatically performs unit conversions and selects relevant, previously observed values before evaluating a proposition when new data is available. 1. A method for automatic timeseries prediction evaluation using an information system , the method comprising:receiving a position specified by a position specification in a position specification language;extracting variable specifications from the position specification in a variable specification language;resolving each variable specification by resolving source, series, and index data to obtain a function to obtain a value with zero or more associated units;observing each variable using the function;simulating future variable observations and estimating the probability of the position obtaining based on the simulated future variable observations, wherein samples are obtained from models based on historical variable observations;coordinating an evaluation of the position by generating a sequence of tuples of values for each value such that the horizons of each tuple value intersect with all other values in that tuple;evaluating the position specification for each tuple until the position is satisfied or rejected, wherein the evaluating relates each variable specification to its corresponding tuple value, which is converted to required units (when required) by the position specification;transforming a representation of the position to reflect the result of the evaluation; andnotifying the position's submitter of a change in position state.2. The method of claim 1 , wherein the position specification language supports ...

APPLICATION OF NORMATIVE RULES IN A VIRTUAL UNIVERSE

The present invention teaches methods for applying an avatar behavior rule within a virtual universe environment. An avatar behavior rule and a violation threshold for the rule are defined for a virtual universe environment. The behavior of a collective plurality of avatars within the virtual universe is monitored for compliance with the rule, including determining an amount of compliance with the rule and comparing the compliance amount with the violation threshold. If the compliance amount does not exceed the violation threshold but avatars are complaining that the monitored behavior of another of the avatars is at an objectionable level, then the rule or the violation threshold is revised until the monitored behavior of the collective plurality of avatars within the virtual universe exceeds the revised violation threshold, or none of the avatars is complaining. 1. A method for applying an avatar behavior rule within a virtual universe environment , comprising:monitoring a behavior of a collective plurality of avatars within a virtual universe environment for compliance with a violation threshold of an avatar behavior rule for the virtual universe environment, and to determine if any of the avatars is complaining that the monitored behavior of another of the avatars is at an objectionable level within the virtual universe environment;determining an amount of compliance of the monitored collective plurality behavior with the rule;comparing the determined compliance amount with the violation threshold;if the determined compliance amount does not exceed the violation threshold and any of the avatars is determined to be complaining that the monitored behavior of another of the avatars is at an objectionable level within the virtual universe environment, revising the violation threshold downward, wherein a lower level of the determined compliance amount is required to exceed the violation threshold; andrepeating the steps of monitoring the behavior of the collective ...

PERFORMANCE EVALUATION OF A CLASSIFIER

A computer-implemented method for evaluating performance of a classifier, the method comprising: (a) comparing labels determined by the classifier with corresponding known labels; and (b) based on the comparison, estimating a probability of observing an equal or better precision at a given recall with random ordering of the labels determined by the classifier. This disclosure also concerns a computer program and a computer system for evaluating performance of a classifier. 1. A computer-implemented method for evaluating performance of a classifier , the method comprising a processor:(a) comparing labels determined by the classifier with corresponding known labels; and(b) based on the comparison, estimating a probability of observing an equal or better precision at a given recall with random ordering of the labels determined by the classifier.2. The method of claim 1 , wherein step (a) comprises calculating a number of correctly determined positive labels or a number of incorrectly determined positive labels claim 1 , or both.3. The method of claim 2 , wherein recall is a ratio between the number of correctly determined positive labels and a total number of positive known labels.4. The method of claim 2 , wherein precision is a ratio between the number of correctly determined positive labels claim 2 , and a total number of correctly or incorrectly determined positive labels.5. The method of claim 2 , wherein the probability in step (b) is estimated by calculating the probability of observing a predetermined number of incorrectly determined positive labels given the number of correctly determined positive labels.6. The method of claim 5 , wherein the probability of observing the predetermined number of incorrectly determined positive labels is the maximum probability over a range of possible predetermined numbers of incorrectly determined positive labels given the number of correctly determined positive labels.7. The method of claim 5 , wherein step (b) further ...

METHOD FOR MODELING BIOMECHANICAL PROPERTIES OF AN EYE

Systems and methods are provided for predicting the results of a therapeutic intervention to an eye. An imaging system is configured to provide image data representing at least a portion of the eye of the patient. An input device is configured to permit a user to design a proposed therapeutic intervention for the eye of the patient. A finite element modeling component is configured to generate a finite element model representing the condition of the eye of the patient after the proposed therapeutic intervention according to the image data, the proposed therapeutic intervention, and at least one biomechanical property of tissue comprising the eye. The generated model is constructed as to have no a priori restraints on the motion of the corneal limbus. A display is configured to display the generated model to the user. 110-. (canceled)11. A computer readable medium , storing executable instructions for facilitating the design of a therapeutic intervention for an eye of a patient , the executable instructions comprising:a geometry generation element configured to form a three-dimensional representation of the eye of the patient from received image data;a user interface configured to receive a plurality of therapeutic parameters defining a proposed therapeutic intervention for the eye of the patient from an associated input device; i. establish a finite element model of the eye of the patient, according to the determined geometry of the eye and at least one biomechanical parameter of the model for each of corneal tissue, sclera tissue, and at least one other structure of the eye;', 'ii. alter at least one of a biomechanical parameter and the determined geometry of the eye according to the therapeutic parameters; and', 'iii. solve the established model to determine a predicted geometry of the eye after the therapeutic intervention; and, 'a reconciliation engine configured toan optical characterization component configured to calculate at least one optical parameter from ...

ETIQUETTE SUGGESTION

Methods and systems for a complete vehicle ecosystem are provided. Specifically, systems that when taken alone, or together, provide an individual or group of individuals with an intuitive and comfortable vehicular environment. The present disclosure builds on integrating existing technology with new devices, methods, and systems to provide a complete vehicle ecosystem. 1. A method for managing an etiquette suggestion that can be associated with a vehicle comprising:storing one or more portions of data harvested from one or more sensors associated with the vehicle;comparing, by a processor, the stored one or more portions to one or more metrics, rules and/or standards;determining an etiquette suggestion based on the comparison and storing a value representing the etiquette suggestion.2. The method of claim 1 , further comprising forwarding the stored value to one or more other destinations.3. The method of claim 1 , further comprising sharing the stored value with one or more other proximate vehicles claim 1 , the etiquette suggestion being displayable on a display associated one of the one or more other proximate vehicles.4. The method of claim 1 , further comprising determining a second etiquette suggestion to be associated with another vehicle.5. The method of claim 4 , further comprising associating the second etiquette suggestion with the another vehicle.6. The method of claim 5 , further comprising the another vehicle determining if the etiquette suggestion should be received.7. The method of claim 4 , further comprising forwarding one or more of the etiquette suggestion and the second etiquette suggestion to a repository.8. The method of claim 7 , wherein the repository is queryable.9. The method of claim 1 , wherein the one or more sensors include one or more of a perimeter sensor claim 1 , a proximity sensor claim 1 , a G-force sensor claim 1 , a speed sensor claim 1 , a mileage monitor claim 1 , a biometric sensor claim 1 , a braking sensor claim 1 , an ...

DATA PROCESSING

A method and apparatus for data processing. The method calculates correlations between a plurality of attributes in a dataset. The attributes are factors involved in transaction processing. The method generates a relationship graph by using the plurality of attributes and the correlations between the plurality of attributes; and extracts a sub-graph from the relationship graph to represent a hypothesis. The hypothesis describes the impacts of the factors on the transaction processing. Also provided is an apparatus for implementing the above data processing method. 1. A method for data processing , comprising:calculating correlations between a plurality of attributes in a dataset, the attributes being factors involved in transaction processing;generating a relationship graph by using the plurality of attributes and the correlations between the plurality of attributes; andextracting a sub-graph from the relationship graph to represent a hypothesis, wherein the hypothesis describes impacts of the factors on the transaction processing.2. The method according to claim 1 , wherein the attributes further comprise:a performance indicator, an intervention, and a confounder; anddata types of the attributes comprising at least one of scale, nominal, and ordinal.3. The method according to claim 2 , wherein the calculating correlations between a plurality of attributes in a dataset further comprises:calculating a correlation between an attribute with a classification of performance indicator and an attribute with a classification of intervention; andcalculating a correlation between an attribute with a classification of performance indicator and an attribute with a classification of confounder.4. The method according to claim 1 , wherein the calculating correlations between plurality of attributes in a dataset further comprises:a first and a second attribute among the plurality of attributes, which as being used to calculate the correlations based on a value of the first ...

Method and Apparatus for Operating a Finite State Machine

A finite state machine is provided. The finite state machine causes a function to be carried out in dependence on at least an event input to the finite state machine and the current state of the finite state machine. Associations between the functions that are to be carried out and combinations of the states and the events are identified using an associative array. The associations identified using the associative array are amended while the finite state machine is operating to dynamically reconfigure the operation of the finite state machine. 1. A computer-implemented method , comprising:operating a finite state machine which causes a function to be carried out in dependence on at least an event input to the finite state machine and the current state of the finite state machine;identifying associations between the functions that are to be carried out and combinations of the states and the events using an associative array; andamending the associations identified using the associative array while the finite state machine is operating to dynamically reconfigure the operation of the finite state machine.2. The method according to claim 1 , wherein the finite state machine is constructed using State Chart eXtensible Markup Language claim 1 , the associations identified using the associative array being amended by receiving input of an eXtensible Markup Language file and parsing the XML file.3. The method according to claim 1 , wherein at least some of the associations identified using the associative array are indexed in the associative array by use of keys claim 1 , the keys being a function of the corresponding current state and event for said function.4. The method according to claim 1 , wherein at least some of the associations identified using the associative array are indexed in the associative array by use of keys claim 1 , the keys being non-sequential.5. The method according to claim 4 , wherein the keys are randomly or pseudorandomly generated.6. The method ...

OPERATIONS MANAGEMENT APPARATUS, OPERATIONS MANAGEMENT SYSTEM, DATA PROCESSING METHOD, AND OPERATIONS MANAGEMENT PROGRAM

An operations management apparatus which acquires performance information for each of a plurality of performance items from a plurality of controlled units and manages operation of the controlled units includes 1. An operation management apparatus comprising:a generation unit which generates a correlation model including a plurality of correlation functions between pieces of performance information based on series of performance information each indicating time series variation of a piece of the performance information and weights each indicating a prediction error of the respective correlation functions, the pieces of performance information being acquired from one or more devices included in a system, and performs pruning of a route of the correlation model based on the weight.2. The operations management apparatus according to whereinthe generation unit applies a value of one of the series of performance information to the correlation function to obtain a predicted value of another of the series of performance information, and calculates a weight of the correlation function based on a difference between the predicted value and a value of the another of the series of performance information.3. The operations management apparatus according to further comprising:a searching unit which predicts a second piece of performance information by using a route having the largest weight among a plurality of routes each including one or some of the correlation functions from a first piece of performance information to the second piece of performance information in the correlation model.4. The operations management apparatus according to further comprising:a total performance information manager which generates groups of one or more pieces of performance information and calculates a total value of the pieces of performance information included in the respective groups,wherein the generation unit generates the correlation model including correlation functions between the groups. ...

SYSTEM AND METHOD FOR ASSIGNING PIECES OF CONTENT TO TIME-SLOTS SAMPLES FOR MEASURING EFFECTS OF THE ASSIGNED CONTENT

Systems and methods provide for assigning pieces of content to time-slots samples for measuring effects of the assigned content. Systems and methods provide for receiving pair-wise content relatedness data that identifies each piece of content as experimental content or control content relative to other pieces of content, and algorithmically assigning experimental or control content pieces to time-slot samples using the content relatedness data, wherein additional content pieces assigned to a particular time-slot sample exclude non-identical related experimental content pieces defined relative to an experimental content piece previously assigned to the particular time-slot sample. 1. A computer-implemented method for assigning pieces of content to time slots for measuring effects of the assigned content , comprising:receiving a first piece of experimental content and a second piece of experimental content, the first and second pieces of experimental content associated with a common effect that is to be measured;algorithmically assigning the first piece of experimental content to a first time slot;algorithmically assigning the second piece of experimental content to a second time slot; andalgorithmically assigning a plurality of further content pieces to the first and second time slots, wherein the plurality of further content pieces assigned to the first time slot do not include the second piece of experimental content, and the plurality of further content pieces assigned to the second time slot do not include the first piece of experimental content.2. The computer-implemented method of claim 1 , further comprising:receiving data indicative of the effectiveness of the first piece of experimental content versus the second piece of experimental content, with respect to the common effect that is to be measured.3. The computer-implemented method of claim 2 , further comprising:outputting, from a computing device, signals indicative of the first and second time slots, ...

TREE STRUCTURED DATA TRANSFORM

A transformation process determines whether a predicate of a rule matches a given node of tree structured data containing a set of nodes and, when the predicate of a rule matches the given node, applies a function of an identified rule to the node to generate a compound result and an interim mutated output document, and when the compound result contains a next node, determines whether the next node is compared with the predicate of a next rule. The transform process includes determining that the next node is processed by a next rule, using the interim mutated output document as input, and determining whether a predicate of a rule matches the next node in a set of nodes. When the predicate of a rule matches the next node, a function of an identified rule is applied to the next node to generate a compound result and interim mutated output document. When the compound result does not contain a next node, a final mutated output document is generated. 1. A computer-implemented process for tree structured data transformation , the computer-implemented process comprising:receiving tree structured data as input, wherein the tree structured data contains a set of nodes;determining, using a processor, whether a predicate of a rule matches a given node in the set of nodes;responsive to a determination that the predicate of a rule matches the given node, applying a function of an identified rule to the given node to generate a compound result and an interim mutated output document;determining whether the compound result contains a next node;responsive to a determination that the compound result contains a next node, determining whether the next node is compared with the predicate of a next rule;responsive to a determination that the next node is processed by a next rule, using the interim mutated output document as input;determining whether a predicate of a rule matches the next node in a set of nodes;responsive to a determination that the predicate of a rule matches the next ...

FEEDBACK DURING SURGICAL EVENTS

Technology is disclosed for communicating surgical information. The technology can receive data from one or more sensors coupled to one or more tools in operation by a user, generate a virtual model of a four-dimensional virtual real-time space, receive motion history data for the user's previous movements, generate a prediction of movement of the first tool in each of the four dimensions in relation to the first vital entity and a prediction score, and output an indication of the prediction score. 1. A method for communicating surgical information , comprising:receiving data from one or more sensors coupled to one or more tools;generating a virtual model of a four-dimensional virtual real-time space, wherein a first tool is mapped in the virtual real-time space in relation to at least a first vital entity based on the data;determining at least one probabilistic model, from a plurality of probabilistic models, that applies to the data and the four-dimensional virtual real-time space;applying the determined at least one probabilistic model to obtain a prediction of movement of the first tool in each of the four dimensions in relation to the first vital entity and a prediction score, wherein the prediction score indicates either a severity of a warning or an estimated reliability of the prediction of movement; andoutputting an indication of the prediction score.2. The method of claim 1 , wherein the applying includes accessing historical information from a data store to predict movement of the first tool.3. The method of claim 1 , wherein the indication of the prediction score comprises a hazard warning signal.4. The method of claim 3 , wherein the hazard warning signal comprises at least one of a temperature signal claim 3 , a vibration frequency claim 3 , or a sound pitch.5. The method of claim 1 , further comprising measuring auditory information claim 1 , ultrasound information claim 1 , or visual information.6. The method of claim 1 , wherein the virtual model is ...

Apparatus and method for managaing axiom, and reasoning apparatus including the same

A method of managing an axiom includes determining if an H in an A→H axiom in existing axioms is a predetermined expression; and if the H is the predetermined expression, collecting, from the existing axioms, a B→I axiom in which the B includes the H, deleting the A→H axiom from the existing axioms, and generating a new B→I axiom from the collected B→I axiom by replacing the H in the B with the A.

SCORE NORMALIZATION

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for score normalization. One of the methods includes receiving initial training data, the initial training data comprising initial training records, each initial training record identifying input data as input and a category as output. The method includes generating a first trained predictive model using the initial training data and a training function. The method includes generating intermediate training records by inputting input data of the initial training records to a second trained predictive model, the second trained predictive model generated using the training function, each intermediate training record having a score. The method also includes generating a score normalization model using a score normalization training function and the intermediate training records. 1. A computer-implemented method comprising:receiving initial training data, the initial training data comprising initial training records, each initial training record identifying input data as input and a category as output;generating a first trained predictive model using the initial training data and a training function;generating intermediate training records by inputting input data of the initial training records to a second trained predictive model, the second trained predictive model generated using the training function, each intermediate training record having a score; andgenerating a score normalization model using a score normalization training function and the intermediate training records.2. The method of claim 1 , wherein generating intermediate training records comprises:dividing the initial training records into sets of training records, the sets of training records including a first set of training records;generating the second trained predictive model using at least one of the sets of training records; andgenerating an intermediate training record for each initial training record in ...

Predicting A User Behavior Number of a Word

The present disclosure introduces a method, an apparatus and memory of predicting a user behavior number of a word for reducing the amount and the complexity of operation, saving the consumption of the equipment, and improving the accuracy and reliability of predictions. In an embodiment, a historical data sequence of the user behavior number of a word is converted from a time domain to a frequency domain. Based on the converted frequency domain, each estimated cycle and its effect rate value of the historical data sequence are ascertained. If the historical data sequence is stable, an average value of user behavior numbers of some historical data points before a prediction point is calculated as a user behavior number of the prediction point. Otherwise, the user behavior number is calculated based on a selected main cycle and a selected singularity. 1. A method of predicting a user behavior number of a word , the method comprising:converting a historical data sequence of the user behavior numbers associated with the word from a time domain to a frequency domain;ascertaining one or more estimated cycles of the historical data sequence, and an effect rate value of each of the one or more estimated cycles based on the frequency domain of the historical data sequence;determining whether the historical data sequence is stable based on the each of one or more estimated cycles and the effect rate value of the each of the one or more estimated cycles;if the historical data sequence is stable, calculating the user behavior number of a prediction point based on an average value of the user behavior numbers of the historical data sequence before the prediction point; and selecting a main cycle and a singularity of the historical data sequence based on the one or more estimated cycles and the effect rate value of each of the one or more estimated cycles, and', 'calculating the user behavior number of a prediction point based on the selected main cycle and the selected ...

CALCULATING RISK ASSESSMENT VALUE OF EVENT SEQUENCE

Provided are a method, an apparatus and a computer program for calculating a risk assessment value for an event sequence, which are capable of calculating the risk assessment value of each even sequence by calculating a totally ordered set on the basis of a partially ordered set indicating the event sequence. The risk assessment value of an event sequence that is a partially ordered set indicating some events of an event group of M kinds of events (M is a finite natural number) in a time series. The partially ordered set is converted into an approximate totally ordered set, and an M-dimensional feature vector is calculated based on the totally ordered set obtained by the conversion. A projection matrix for calculating the risk assessment value is calculated using the calculated M-dimensional feature vector. 1. A method of determining a risk assessment value of an event sequence which is a partially ordered set indicating some events of an event group of M kinds of events in a time series , wherein M is a finite natural number , the method comprising:converting, with a processing device, the partially ordered set into an approximate totally ordered set;calculating an M-dimensional feature vector from the totally ordered set obtained by the conversion; andcalculating a projection matrix for calculating the risk assessment value on the basis of the calculated M-dimensional feature vector.2. The method according to claim 1 , further comprising:generating an M-dimensional sparse ordered matrix on the basis of the partially ordered set; andcalculating a dense ordered matrix having a highest similarity to the generated sparse ordered matrix.3. The method according to claim 2 , further comprising:converting the calculated dense ordered matrix into a column vector; andcalculating, with a projection matrix, a label value indicating whether or not a risk occurs by linear regression.4. A method of determining a risk assessment value of an event sequence which is a partially ...

CALCULATING RISK ASSESSMENT VALUE OF EVENT SEQUENCE

Provided are a method, an apparatus and a computer program for calculating a risk assessment value for an event sequence, which are capable of calculating the risk assessment value of each even sequence by calculating a totally ordered set on the basis of a partially ordered set indicating the event sequence. The risk assessment value of an event sequence that is a partially ordered set indicating some events of an event group of M kinds of events (M is a finite natural number) in a time series. The partially ordered set is converted into an approximate totally ordered set, and an M-dimensional feature vector is calculated based on the totally ordered set obtained by the conversion. A projection matrix for calculating the risk assessment value is calculated using the calculated M-dimensional feature vector. 1. An apparatus configured to calculate a risk assessment value of an event sequence which is a partially ordered set indicating some events of an event group of M kinds of events in a time series , wherein M is a finite natural number , the apparatus comprising:a converter configured to convert the partially ordered set into an approximate totally ordered set;a feature vector calculator configured to calculate an M-dimensional feature vector from the totally ordered set obtained by the conversion; anda projection matrix calculator configured to calculate a projection matrix for calculating the risk assessment value on the basis of the calculated M-dimensional feature vector.2. The apparatus according to claim 1 , wherein the converter generates an M-dimensional sparse ordered matrix on the basis of the partially ordered set claim 1 , and calculates a dense ordered matrix having highest similarity to the generated sparse ordered matrix.3. The apparatus according to claim 2 , wherein the projection matrix calculator converts the calculated dense ordered matrix into a column vector claim 2 , and performs linear regression to calculate a projection matrix for ...

SYSTEMS AND METHODS FOR SUPPORTING FERTILIZER DECISIONS

Systems and methods for supporting fertilizer decisions are provided. The systems and methods may be configured to receive data relating to the application of a liquid fertilizer to a field having a number of rows. The data may include at least one fertilizer characteristic and yield data relating to each row of the number of rows. The systems and methods may be configured to receive a request from a user to analyze the data. The systems and methods may be configured to compare the at least one fertilizer characteristic and the yield data for each row of the number of rows. The systems and methods may be configured to communicate the results of the comparison to the user. 1. A fertilizer decision support system , comprising:a data aggregator configured to receive, from an electronic device, data relating to the application of a liquid fertilizer to a field having a number of rows, the data comprising at least one fertilizer characteristic and yield data relating to each row of the number of rows;an analysis engine in communication with the data aggregator and configured to compare the at least one fertilizer characteristic and the yield data for each row of the number of rows; andan output generator in communication with the analysis engine and configured to communicate the results of the comparison to a user.2. The system of claim 1 , further comprisinga memory configured to receive the at least one fertilizer characteristic and the yield data from the data aggregator and store the at least one fertilizer characteristic and the yield data; anda processor in communication with the memory, wherein the data aggregator, the analysis engine, and the output generator are software configured to be executed by the processor.3. The system of claim 2 , wherein the at least one fertilizer characteristic comprises a flow rate of the liquid fertilizer.4. The system of claim 3 , wherein the at least one fertilizer characteristic further comprises a pressure of the liquid ...

MODIFICATION OF DESCRIPTION LOGIC EXPRESSIONS

A method, executed by a computer system, or altering a base expression associated with an ontology, the method including: 1. A method , executed by a computer system , for altering a base expression associated with an ontology , the method comprising:generating a canonical expression from the base expression;modifying the canonical expression to generate a modified canonical expression, the modification being the addition, replacement or deletion of a target update expression segment;modifying the base expression to generate a modified base expression by adding a modification sub-expression to the base expression or deleting a modification sub-expression from the base expression, the modification sub-expression being determined at least in part from the target update expression segment;generating a comparison canonical expression from the modified base expression; andcomparing the comparison canonical expression with the modified canonical expression to determine whether to substitute the base expression with the modified base expression.2. A method of claim 1 , wherein the steps of modifying the base expression claim 1 , generating a comparison canonical expression and comparing the comparison canonical expression with the modified canonical expression are sequentially repeated claim 1 , the modification sub-expression including one or more elements and being modified to include a larger number of elements with each repetition claim 1 , until the comparison canonical expression matches the modified canonical expression.3. A method of claim 2 , wherein the modification sub-expression is initially generated from a sub-expression in the canonical expression containing the target update expression segment and having the smallest number of elements.4. A method of claim 1 , wherein the steps of generating the canonical expression from the base expression and generating the comparison canonical expression from the modified base expression include the execution of a ...

TRANSFORMATION OF A SOURCE MODEL TO A TARGET MODEL

An aspect of the invention includes transforming a source model to a target model. A source model is received and a transformation specification that includes a set of rules is accessed. Each rule includes a pattern description and a production component. The pattern description includes a pattern in the source model and the production component includes an algorithm for generating an output in the target model from the pattern. For each expression in the source model, the expression is decomposed into sub-expressions, matching rules in the transformation specification for the expression and the sub-expressions are detected, one of the matching rules having the most specific pattern description is selected, and the production component of the selected rule is executed to generate the output in the target model. The target model is created from the generated output. 1. A method of transforming a source model to a target model , comprising:receiving the source model;accessing a transformation specification comprising a set of rules, each rule of the set of rules comprising a pattern description and a production component, the pattern description comprising a pattern in the source model and the production component comprising an algorithm for generating an output in the target model from the pattern;for each expression in the source model:decomposing the expression into sub-expressions;detecting matching rules in the transformation specification for the expression and the sub-expressions;selecting one of the matching rules having a most specific pattern description; andexecuting the production component of a selected rule to generate the output in the target model; andcreating the target model from generated output.2. A method according to claim 1 , wherein the selecting one of the matching rules having the most specific pattern description comprises:upon determining more than one rule is returned with the same most specific pattern description, selecting a first rule ...

METHOD AND DEVICE FOR DISTRIBUTING PATTERNS TO SCANNING ENGINES FOR SCANNING PATTERNS IN A PACKET STREAM

A method and a device for distributing patterns to scanning engines for scanning packets in a packet stream are provided. The method includes providing a plurality of scanning engines and patterns, calculating a respective distance metric for every pair of patterns, and providing a plurality of distribution functions. Further, the method includes calculating a respective sum of the calculated distance metrics for distributing the patterns for each of the distribution functions, and utilizing the sums for selecting a distribution function of the D distribution functions for distributing the patterns to the M scanning engines. A device for implementing the method is also provided. 1. A computer implemented method for distributing patterns to scanning engines for scanning packets in a packet stream , the method comprising:providing a plurality of scanning engines;providing a plurality of patterns, each pattern having a respective definite memory consumption when compiled onto a scanning engine;calculating, using a computer device, a respective distance metric for every pair of patterns, wherein the respective distance metric represents a difference in memory consumption of two patterns of the pair when compiled between mutual compilation onto a single scanning engine and separate compilation onto two scanning engines;providing a plurality of distribution functions, the respective distribution function mapping the patterns to the scanning engines;calculating, for each of the distribution functions, a respective sum of a calculated distance metrics for distributing the patterns, the respective sum estimating the memory consumption for compiling the patterns to the scanning engines by accumulating the distance metrics of every pair of patterns being mapped to the same scanning engine for the respective distribution function; andutilizing the sums for selecting a distribution function of the distribution functions for distributing the patterns to the scanning engines; ...

Predicting Taxi Utilization Information

Techniques are described for automatically analyzing contingencies in information predicting taxi demand. This is to generate representative information regarding current or future taxi demand, and for using such generated representative taxi demand. Contingent demand information may be generated for a variety of types of useful measures of taxi demand rates, such as for projecting expected likelihood of finding a passenger at each of several road locations. Generated representative contingent taxi demand information may be used in various ways to assist taxi and livery service drivers plan optimal routes and schedules. The historical and/or recent contingent demand data may be used to generate the representative traffic flow information. This may include data readings from mobile data sensors in the one or more vehicles, data sensors in or near the roads, or aggregate data sources collected from one or more sensors or through publicly available data sets. 1. A method of predicting taxi utilization information , comprising:storing in a database at least one of historical taxi utilization information and recent taxi utilization information;receiving a request for future taxi utilization information;identifying taxi aggregation categories based on the requested current or future taxi information;applying the taxi aggregation categories using a computer processor, to at least one of the historical taxi utilization information and the recent taxi utilization information to generate summary information about data relevant to the aggregation categories; andpredicting the requested current or future taxi information based on generated summary information.2. The method of claim 1 , wherein the future taxi utilization information includes at least one of current or future taxi demand information and supply information.3. The method of claim 1 , further comprising providing taxi relevant conditions.4. The method of claim 3 , wherein the identifying step comprises identifying ...

Altitude reliability determining system, data maintenance system, driving assistance system, altitude reliability determining program, and method

Systems, methods, and programs acquire map information including road width data and background type data. The systems, methods, and programs acquire altitude information indicating an altitude of each unit region, the unit region being set by dividing a map indicated in the map information into a plurality of unit regions having a predetermined size, and calculate a predicted altitude of each of a plurality of reference points based on the road information and the altitude information, the plurality of reference points being set along a road. The systems, methods, and programs determine a predicted altitude reliability of each of the reference points based on at least one of the background type data and the road width data at the position of the each of the reference points.

Systems and Methods for Identifying Drug Targets Using Biological Networks

Certain embodiments of the invention may include systems and methods for identifying drug targets using biological networks. According to an example embodiment of the invention, a method is provided for predicting the effects of drug targets on treating a disease. The method can include constructing a structure of a Bayesian network based at least in part on knowledge of drug inhibiting effects on a disease; associating a set of parameters with the constructed Bayesian network; determining values of a joint probability distribution of the Bayesian network via an automatic procedure; deriving a mean Bayesian network with one or more averaged parameters based at least in part on the joint probability values; and calculating a quantitative prediction based at least in part on the mean Bayesian network. 1. A method , comprising executing computer executable instructions by one or more processors for predicting the effects of drug targets on treating a disease , the method further comprising:constructing a structure of a Bayesian network based at least in part on knowledge of drug inhibiting effects on a disease;associating a set of parameters with the constructed Bayesian network;determining values of a joint probability distribution of the Bayesian network via an automatic procedure;deriving a mean Bayesian network with one or more averaged parameters based at least in part on the joint probability values; andcalculating a quantitative prediction based at least in part on the mean Bayesian network.2. The method of claim 1 , wherein constructing the structure of the Bayesian network comprises adding directed edges between variables according to domain expert knowledge.3. The method of claim 1 , wherein associating the set of parameters with the constructed Bayesian network comprises denoting joint probabilities of a value of one or more variables in conjunction with values of other variables in the Bayesian network.4. The method of claim 1 , wherein determining values ...

REAL-TIME PREDICTIVE INTELLIGENCE PLATFORM

A real-time predictive intelligence platform comprises: receiving from a user through a meta API definitions for predictive intelligence (PI) artifacts that describe a domain of an online transaction system for least one business entity, each of the PI artifacts including types, component modules and behavior bundles; exposing an entity API based on the PI artifacts for receiving entity events from the online transaction system comprising records of interactions and transactions between customers and the online transaction system; responsive to receiving an entity event through the entity API, executing the component modules and behavior bundles to analyze relationships found between past entity events and metrics associated with the past entity events, and computing a probabilistic prediction and/or a score, which is then returned to the online transaction system in real-time; and processing entity event replicas using modified versions of the PI artifacts for experimentation. 1. A computer-implemented method for providing a predictive intelligence platform , comprising:receiving from a user through a meta application programming interface (API) definitions for predictive intelligence (PI) artifacts that describe a domain of an online transaction system for least one business entity, each of the PI artifacts including types, component modules and behavior bundles;exposing a domain-specific entity API based on the PI artifacts for receiving entity events from the online transaction system, the entity events comprising records of interactions and transactions between customers and the online transaction system;responsive to receiving an entity event through the domain-specific entity API, executing the component modules and behavior bundles related to the entity event to analyze relationships found between past entity events and metrics associated with the past entity events to compute at least one of a probabilistic prediction and a score related to the entity event ...

SYSTEM AND METHOD FOR NETWORKED DECISION MAKING SUPPORT

The present invention provides systems and methods for decision making support. The decision making support can be used, for example, for help desk troubleshooting, medical diagnosis, financial planning, and expert device. The decision support system of the invention includes a processor and a memory having a decision support program module, a phase dictionary, one or more solution nodes and optionally a topic identification information module. The decision support module is configured to enable the processor to receive a problem constraint and one or more user-specified phrases, which are then used to search nodes in a solution domain to identify a set of nodes potentially related to the user's problem or question. The set of nodes potentially related to the user's problem or question are ranked and displayed. Methods to determine potential solution nodes and to update solution nodes within the decision support system are provided. 1. A method comprising:receiving a constraint at a computing device;searching, by the computing device, the plurality of nodes to generate a first set of related nodes, wherein the search selects nodes that include at least a portion of the constraint, each node comprising a problem statement, a question or a diagnosis;generating a selectable list at the computing device, wherein the selectable list includes one or more problem statement, question, or diagnosis from one or more nodes in the first set of related nodes;receiving, at the computing device, a selection of one or more problem statement, question, or diagnosis from the selectable list; andremoving, by the computing device, nodes from the first set of related nodes that include an inverse of the problem statement, question, or diagnosis selected from the selectable list to generate a second set of related nodes.2. The method of claim 1 , wherein the inverse of the problem statement claim 1 , question claim 1 , or diagnosis selected from the selectable list comprises a predefined ...

Method and Arrangement for Content Prioritization

The invention concerns a method for determining priority of a data item, the data item being sent from at least one first terminal or service associable with the first terminal to a second terminal and evaluated using a set of first rules associable with the sender of a data item and a set of second rules associable with the recipient of a data item. The invention is characterized in that the data item is associated with at least one tag characterizing the data item, weight factor for the data item is maintained using the set of first rules and the value of the at least one tag, the weight factor of the data item is made adjustable by the set of second rules and the data item is rendered on the second terminal using at least the weight factor information. Also an arrangement implementing the method is disclosed. 1. A computer-implemented method , comprising:receiving, from a user device, a message for a recipient, wherein the message is associated with one or more metadata tags;determining an initial weight factor for the message based on a set of first rules provided by the user and the one or more metadata tags;determining an adjusted weight factor by adjusting the initial weight factor of the message based on a set of second rules provided by the recipient and the one or more metadata tags; andproviding the message, at least one of the one or more metadata tags, and the adjusted weight factor to a device associated with the recipient, where a display order of the message is based at least in part on the adjusted weight factor and the at least one metadata tag.2. The method of claim 1 , wherein the one or more metadata tags comprise respective name-value pairs.3. The method of claim 1 , wherein the one or more metadata tags identify a sender of the message claim 1 , identify an intended recipient of the message claim 1 , identify an intended group of recipients of the message claim 1 , or describe a priority of the message.4. The method of claim 1 , wherein the ...

BUT REASONING IN INCONSISTENT KNOWLEDGE BASE

A method is provided for “but reasoning” with an inconsistent knowledge base. The method not only gives an answer to a Boolean question but also additional and instructive information. The method first finds a bridge statement that explains a contradiction between the answer and the inconsistent knowledge base. The method then selects a but statement that causes the contradiction with the answer, and constructs and validates a but answer with the answer, the but statement, and optionally the bridge statement. 1. A method for a processor to respond to a Boolean query using an inconsistent knowledge base , the method comprising:receiving the Boolean query including an original formula;determining if the inconsistent knowledge base non-standardly entails the original formula;when the inconsistent knowledge base non-standardly entails the original formula, selecting a bridge formula that is non-standardly entailed by the inconsistent knowledge base, can be resolved with the original formula, and does not contradict the original formula;constructing a but answer comprising the original formula, a but formula, and the bridge formula, the but formula being a negation of a resolvent of the original formula and the bridge formula;validating the but answer; andtransmitting or displaying the but answer with at least the original formula and the but formula.2. The method of claim 1 , wherein the selecting the bridge formula comprises:forming the bridge formula as a conjunction of a step number of different clauses in the inconsistent knowledge base;determining if the original formula and the bridge formula can be resolved; determining if a termination condition is met;', 'when the termination condition is not met, incrementing the step number and repeating above steps starting from the forming the bridge formula;', 'when the termination condition is met, ending the method;, 'when the original formula and the bridge formula cannot be resolved so the bridge formula is rejected ...

Methods of robot behavior generation and robots utilizing the same

A method of generating a behavior of a robot includes measuring input data associated with a plurality of user responses, applying an algorithm to the input data of the plurality of user responses to generate a plurality of user character classes, storing the plurality of user character classes in a database, classifying an individual user into a selected one of the plurality of user character classes by generating user preference data, selecting a robot behavior based on the selected user character class, and controlling the actions of the robot in accordance with the selected robot behavior during a user-robot interaction session. The selected user character class and the user preference data are based at least in part on input data associated with the individual user.

METHODS AND SYSTEMS FOR GENERATING A HORIZON FOR USE IN AN ADVANCED DRIVER ASSISTANCE SYSTEM (ADAS)

A method of generating a horizon for use by an ADAS of a vehicle involves using historical vehicle probe data to determine the likelihood that different outgoing paths are taken at a decision point along a currently traversed road segment, and deriving a probability that each path may be taken. The probability is based on historical paths taken by vehicles at the decision point as indicated by the vehicle probe data. 1. A computer implemented method of generating a horizon for use in an ADAS of a vehicle , comprising:generating the horizon using positional data relating to the movement of devices associated with vehicles with respect to time.2. The method of claim 1 , further comprising determining data indicative of the relative probability that each of a plurality of possible outgoing paths associated with a decision point will be taken by the vehicle in the immediate future using the positional data.3. The method of claim 2 , wherein said step of determining data indicative of the relative probability that each of the plurality of possible outgoing paths will be taken comprises using data indicative of a historic relative probability of each of the plurality of possible outgoing paths from the decision point having been taken based on the positional data.4. The method of claim 3 , wherein the method comprises associating a relatively higher probability of the path being taken with a possible outgoing path that is associated with a relatively higher probability of having been selected based on the historic relative probability data.5. The method of claim 3 , wherein the historic relative probability data is indicative of the historic probability of each possible outgoing path having been taken during one or more time periods claim 3 , and wherein the relative probability that each outgoing path from the decision point will be taken is determined using the historic probability data for the time period appropriate for the time at which the horizon is generated.6. ...

Methods and Systems For Investigation of Compositions of Ontological Subjects

Methods and systems are given for investigation of compositions of ontological subjects in accordance with various aspects of significance. Accordingly, the present invention provide a unified method and process of investigating the compositions of ontological subjects, modeling an unknown system, and obtaining as much worthwhile information and knowledge as possible about the system or the composition or the body of knowledge along with exemplary services utilizing such investigations. 1. A computer implemented method of investigating compositions of ontological subject utilizing evaluation of one or more of following values for one or more ontological subject of a composition:a. a value respective of at least one of a one or more value significance measures,b. a value respective of at least one of a one or more association strength measures,c. a value respective of at least one of a one or more relative association strength measures,d. a value respective of at least one of a one or more relative value significance measures,e. a value respective of at least one of a one or more novelty value significance measures,f. a value respective of at least one of a one or more relative novelty value significance measures, andg. a value respective of at least one of a one or more association novelty value significance measures.2. The method of claim 1 , wherein one or more of said values are in the form of a vector and/or a matrix.3. The method of claim 1 , wherein the value significance measure of an ontological subject of the composition is a function of frequency of occurrence of the ontological subject in the composition and/or partitions of the composition.4. The method of claim 1 , wherein said association strength measure of a pair of ontological subject of the composition is a function of the co-occurrences of the pair and frequency of occurrences of at least one ontological subject of the pair within the composition or the partitions thereof.5. The method of claim 1 ...

DATA PROCESSING METHOD AND SYSTEM, AND RELEVANT APPARARTUS

Embodiments of the present invention disclose a data processing method including: sending global initial statistical information to each slave node; merging received local statistical information of each slave node, to obtain new global statistical information; if Gibbs sampling performed by a slave node has ended, calculating a probability distribution between a document and topic and a probability distribution between the topic and a word according to the new global statistical information; according to the probability distributions obtained through calculation, establishing a likelihood function of a text set, and maximizing the likelihood function, to obtain a new hLDA hyper-parameter; and if iteration of solving for an hLDA hyper-parameter has converged, and according to the new hLDA hyper-parameter, calculating and outputting the probability distribution between the document and topic and the probability distribution between the topic and word. 1. A data processing method , comprising:sending global initial statistical information to each slave node, wherein the global initial statistical information comprises: text subset information divided in advance according to a text set, preset initial hyper-parameter information of a hierarchical Latent Dirichlet Allocation model, a pre-established nested Chinese restaurant process prior of the text set, hierarchical topic path information of a document, document-topic count matrix information, and topic-word count matrix information;merging received local statistical information of each slave node, to obtain new global statistical information, wherein the local statistical information comprises: a document-topic count matrix, a topic-word count matrix and a document hierarchical topic path of each slave node, and the new global statistical information comprises: global text-topic count matrix information, topic-word count matrix information, topic-word count matrix information of each slave node, and a global document ...

DOMAIN LEVEL CLUSTERING

A computer implemented method for clustering documents that includes receiving at least a first first-level cluster of documents and a second first-level cluster of documents, wherein the first first-level cluster includes one or more first documents associated with a first domain, the first documents satisfying a first first-level classification criterion, and the second first-level cluster including one or more second documents associated with a second domain, the second documents satisfying a second first-level classification criterion. The method also includes creating, by a processor of the computer system, a second-level cluster by combining the first first-level cluster with the second first-level cluster when a) the first first-level cluster and second first-level cluster satisfy a second-level classification criterion; and b) the first domain does not match the second domain. 1. A computer implemented method comprising:receiving, by a processor of a computer system, at least a first first-level cluster of documents and a second first-level cluster of documents, wherein the first first-level cluster includes one or more first documents associated with a first domain, the first documents satisfying a first first-level classification criterion, the second first-level cluster including one or more second documents associated with a second domain, the second documents satisfying a second first-level classification criterion; and a) the first first-level cluster and second first-level cluster satisfy a second-level classification criterion; and', 'b) the first domain does not match the second domain., 'creating, by a processor of the computer system, a second-level cluster by combining the first first-level cluster with the second first-level cluster when2. The method of claim 1 , wherein the first domain matches the second domain and the method further comprises:creating a first second-level cluster from at least the first first-level cluster of documents; ...

PERSONALIZED INFORMATION PUSHING METHOD AND DEVICE

Embodiments of the present application relate to a personalized information pushing method, a personalized information pushing device, and a computer program product for pushing personalized information. A personalized information pushing method is provided. The method includes retrieving network behavior data related to access operations performed by user terminals, determining a numerical value of a degree of correlation between a user terminal and a plurality of information providing terminals having a correlation within a set time window based on the network behavior data, retrieving information providing terminals corresponding to a first user terminal to form a first data set based on the numerical values, retrieving information of the information providing terminals from the first data set to generate a first information, and pushing the first information to the first user terminal. 1. A personalized information pushing method , wherein the method comprises:retrieving network behavior data related to access operations performed by a plurality of user terminals;determining a numerical value of a degree of correlation between a user terminal and a plurality of information providing terminals having a correlation with respect to the user terminal within a set time window based on the network behavior data;retrieving a plurality of information providing terminals corresponding to a first user terminal of the plurality of the user terminals to form a first data set based on the numerical to values of the degrees of correlation between the first user terminal and the information providing terminals within the set time window;retrieving information of at least one of the plurality of information providing terminals from the first data set in sequence according to size of the numerical values of the degrees of correlation to generate first information; andpushing the first information to the first user terminal.2. The method as described in claim 1 , wherein the ...

SYSTEM AND METHOD FOR USING A STATISTICAL CLASSIFIER TO SCORE CONTACT ENTITIES

A system and method for associating a character string with one or more defined entities of a contact record. An input character string is received. The string is first evaluated to see if the structure of the string is recognized. If not, then the string is compared to entries in a look up table. If the string format is not recognized, and the string is not found in the look up table, then a posterior probability is calculated for a set of defined entities over a limited set of string processing features. The result of probabilistic scoring determines which of the defined entities to associate with the character string. 1. A method for associating an entity of a contact with a character string , wherein a database stores a plurality of contacts , and each contact has a defined set of entities , comprising:evaluating, for a first subgroup of the defined set of entities, using a processor, a structure of the character string, wherein if the structure is recognized, the character string is associated with at least one of the entities in the first subgroup; and, if the structure is not recognized,evaluating, for a second subgroup of the defined set of entities, using a processor, a probabilistic approximation that the character string is associated with at least one of the entities in the second subgroup.2. The method of claim 1 , the step of evaluating a structure of the character string further comprising matching the string to a known entity structure with a near certainty.3. The method of claim 1 , the step of evaluating a structure of the character string further comprising comparing the string to known entity entries in a table to detect a match with a near certainty.4. The method of claim 1 , the step of evaluating a probabilistic approximation further comprising calculating a posterior probability over a limited set of string features.5. The method of claim 4 , wherein the limited set of string features include a last-word feature claim 4 , a digit-blurring ...

Pneuron distributed analytics

A method and system for the integration of disparate data stored within an Information Technology infrastructure of a company is provided. The system and method enables holistic, real time control of data discovery, retrieval and analysis. The system combines data mining, retrieval and analytics at the source of the data, thereby solving traditional problems with disparate and distributed data, systems, business processes and analytics across an organization. The system enables a user to configure and target data, then apply rules, workflows and analytics from one central source. This process is accomplished by distributing functions in the form of software pneurons against the existing infrastructure for maximum processing while preserving a robust and extendable suite of definitions. The system uses the existing application, network and hardware assets and enables connection to the native data, maps only the data fields that need to be mapped to carry out the desired analysis, runs the analysis and then returns the data to a central location to be assembled, analyzed, organized and/or reported.

METHOD AND DEVICE FOR CLASSIFYING A PACKET

Embodiments of the present invention provide a method and a device for classifying a packet, which relates to the field of communications technologies, so as to reduce rule duplication in a classification process and improve classification efficiency. The method for classifying a packet provided by the embodiment of the present invention includes: receiving a packet (); searching for a rule matching the packet in at least one created decision tree, in which the decision tree is a decision tree created after an original rule set is divided based on a segmentation code (); and classifying the packet according to a found rule (). The method and the device provided in the embodiments of the present invention are applicable to a router. 1. A method for classifying a packet , the method comprising:receiving a packet;searching for a rule matching the packet in at least one created decision tree, wherein the decision tree is a decision tree created after an original rule set is divided based on a segmentation code; andclassifying the packet according to a found rule.2. The method for classifying a packet according to claim 1 , wherein before the searching for the rule matching the packet in the at least one created decision tree claim 1 , the method further comprises:dividing the original rule set into at least two sub-rule sets according to the segmentation code; andcreating a decision tree for each of the sub-rule sets.3. The method for classifying a packet according to claim 2 , wherein the dividing the original rule set into the at least two sub-rule sets according to the segmentation code comprises:using at least two bits of characters as a segment to segment each rule in the original rule set, and calculating a segmentation code corresponding to each rule;counting rules corresponding to a same segmentation code and obtaining the number of the rules, and sequencing segmentation codes according to a descending order of the numbers of rules;selecting a segmentation code ...

Simplifying Lexicon Creation in Hybrid Duplicate Detection and Inductive Classifier System

A classification system includes a signature-based duplicate detector and an inductive classifier that share attribute information. To perform the duplicate detection and the classification, the duplicate detector and inductive classifier are first initialized by generating a lexicon of attributes for the duplicate detector and a classification model for the classifier. To develop a classification model, a training set of documents of known class are used by the classifier to determine the attributes of the documents that are most useful in classifying an unknown document. The model is developed from these attributes. Attribute information containing the attributes determined by the classifier is then passed to the duplicate detector and the duplicate detector uses the attribute information to generate the lexicon of attributes. 1. A method of classifying a document using a duplicate detector and an inductive classifier , the method comprising:generating, at the duplicate detector, a lexicon of attributes based on attribute information received from the inductive classifier, wherein the duplicate detector is configured to determine whether two or more data items are near duplicates of each other;receiving, at the duplicate detector, a set of documents of known classification;calculating, at the duplicate detector, class signatures based on the set of documents of known classification and the lexicon of attributes;receiving, at the duplicate detector, an unknown document;generating, at the duplicate detector, a query signature based on the unknown document and the lexicon of attributes;comparing, at the duplicate detector, the query signature to the class signatures to determine whether the query signature matches a class signature;when the query signature matches a class signature, indicating the unknown document has a class of the document corresponding to the class signature that matches the query signature; andwhen the query signature does not match a class ...

Method and computer program product for providing a response to a statement of a user

A method for providing a response to a statement of a user, the method includes: receiving user input that comprises a portion of a user statement; selecting, before receiving a whole user statement, an answerable statement response between an answerable statement, multiple answerable statements and a response to an answerable statement; wherein the selecting is responsive to user input and to structured representations of answerable statements answerable by an answering entity; and sending to the user information representative of response to the user statement.

METHOD FOR PROVIDING WITH A SCORE AN OBJECT, AND DECISION-SUPPORT SYSTEM

The present invention is related to a method for providing with a score an object represented by a target item from a multidimensional space, said score being representative of the probability that the object satisfies a given binary property, said method being performed in a computer environment comprising processing means connected to memory means, comprising the following steps: (a) providing and storing in the memory means data representative of a set of sample items from said multidimensional space, each sample item being associated with a multi-value label representative of the probability that an object represented by said sample item satisfies the given binary property; (b) storing in the memory means data representative of the target item; (c) with said processing means, generating and storing in said memory means data representative of an oriented binary tree with a given height, said binary tree being defined by a plurality of nodes having index values in relation with their position in the binary tree, said nodes comprising a root node, intermediate nodes and terminal nodes, and each node being associated with a subspace of the multidimensional space according to the following rules: if the node is a root node, the associated subspace is the whole multidimensional subspace; if the node is a non-terminal node, its associated subspace is split into two disjoint subspaces ε and ε and respectively associated with a first child node and a second child node of said non-terminal node, said splitting being performed by the processing unit according to a classifier minimizing the number of sample items associated with a first given label value to belong to the subspace ε, and/or the number of sample items associated with a second given label value to belong to the subspace ε, said second label value being representative of a higher probability that an object represented by said sample item satisfies the given binary property than said first given label value; (d) ...

SYSTEM AND METHOD FOR APPLYING DISTINGUISHING INDICIA TO LANGUAGE IN A MODEL

The present invention is a system to apply distinguishing indicia to language in a model includes a logic analyzer and a plurality of rules utilized by the system and the logic analyzer will utilize the rules to interpret written text to be read by a computer. The a logic display component will present the rules and a formal model controller that will read the written text and pass the written text to the logic analyzer, the formal model controller displays a result using the logic display component. The rules include a plurality of Boolean operators, a plurality of ASCII operators, a plurality of Latinate, a HTML URL underscore style, a plurality of XML operators, a plurality of colors, a plurality of shapes and a plurality of different types of brackets. 1. A system to apply distinguishing indicia to language in a model , comprising:a logic analyzer and a plurality of rules utilized by said system, said logic analyzer will utilize said rules to interpret written text to be read by a computer;a logic display component will present said rules; anda formal model controller that will read said written text and pass said written text to said logic analyzer, said formal model controller displays a result using said logic display component.2. The system according to claim 1 , wherein said rules include a plurality of Boolean operators claim 1 , a plurality of ASCII operators claim 1 , a plurality of Latinate claim 1 , a HTML URL underscore style claim 1 , a plurality of XML operators claim 1 , a plurality of colors claim 1 , a plurality of shapes and a plurality of different types of brackets.3. The system according to claim 1 , wherein said Boolean operators include and claim 1 , or claim 1 , not claim 1 , equ claim 1 , and if then.4. The system according to claim 1 , wherein said ASCII operators include & claim 1 , V claim 1 , ˜ claim 1 , = and >.5. The system according to claim 1 , wherein said Latinate include conjunction claim 1 , disjunction claim 1 , negation ...

EXTRACTING PREDICTIVE SEGMENTS FROM SAMPLED DATA

A system and method is disclosed which predicts the relative occurrence or presence of an event or item based on sample data consisting of samples which contain and samples which do not contain the event or item. The samples also consist of any number of descriptive attributes, which may be continuous variables, binary variables, or categorical variables. Given the sampled data, the system automatically creates statistically optimal segments from which a functional input/output relationship can be derived. These segments can either be used directly in the form of a lookup table or in some cases as input data to a secondary modeling system such as a linear regression module, a neural network, or other predictive system. 1. A computer implemented web-based predictive modeling system to extract predictive segments from sampled data used for predicting subject response , comprising:an application client having an end-user interface and a recommendation server having a profiler, comprising a service system to collect sample transactions both with and without an item of interest;subject profiles represented as attribute values;recommendations to, and collecting response data from, an end use external application;an objective function representing the goal of the said external application; andwherein said system automatically determines the optimal segments;whereby the computer implemented web-based predictive modeling system to extract predictive segments from sampled data used for predicting subject response determines the optimal segments and is able to synthesize the functional input-output pairs that are required as a pre-condition for other modeling systems, including being able to create models from any type of sampled data, support for any data type, working with correlated input variables, not requiring expert knowledge or pre-analysis to identify variables or variable bins to create input-output pairs.2. The computer implemented web-based predictive modeling ...

METHODS AND APPARATUS TO CONSTRUCT HISTOGRAMS AND WAVELET SYNOPSES FOR PROBABILISTIC DATA

A disclosed example method involves generating a plurality of wavelet coefficient quantities. Each wavelet coefficient quantity is generated based on items represented by probabilistic data. Each wavelet coefficient quantity represents different ones of the items by multiplying corresponding wavelet vectors. The example method also involves determining an error measure associated with each of the plurality of wavelet coefficient quantities, and selecting at least one of the plurality of wavelet coefficient quantities based on its associated error measure. The method also involves displaying parameter information associated with the one of the plurality of wavelet coefficient quantities to represent the probabilistic data. 1. A method of selecting wavelet coefficients to represent probabilistic data , comprising:generating a wavelet coefficient quantity exceeding a target error value;iteratively generating different wavelet coefficient quantities until an error measure of a selected one of the different wavelet coefficient quantities is less than or equal to the target error value, the different wavelet coefficient quantities generated based on items represented by probabilistic data having uncertainties as to information of a data transmission that the probabilistic data represents, and each wavelet coefficient quantity representing different ones of the items by multiplying corresponding wavelet vectors;for the different wavelet coefficient quantities, determining the error measure by determining a probabilistic expected error for each of the coefficients of the different wavelet coefficient quantities, the probabilistic expected error indicative of an accuracy with which a synopsis represents items associated with a respective one of the coefficients;selecting the selected one of the different wavelet coefficient quantities based on its associated error measure; anddisplaying parameter information associated with the selected wavelet coefficient quantity to ...

Knowledge Reasoning Method of Boolean Satisfiability (SAT)

Disclosed is a knowledge reasoning method for solving Boolean Satisfiability problems. This method is one of the applications of the method disclosed in the US patent “Knowledge Acquisition and Retrieval Apparatus and Method” (U.S. Pat. No. 6,611,841). Disclosed method applies learning function to access iterative set relations among variables, literals, words and clauses as knowledge; And applies deduction and reduction functions to retrieve relations as reasoning. The process is a knowledge learning (KL) and knowledge reasoning algorithm (KRA). KRA abandons the “OR” operation of Boolean logic and processes only set relations of the data. The novelty of the disclosed method is the reversibility between the deduction and reduction. That is, KRA of Boolean Satisfiability applies a pair of perceptual-conceptual languages to learn member-class relations and retrieve information through deductive and reductive reasoning. 1. A knowledge reasoning method for determining if satisfying variable assignments of Boolean formulas exist , or to find errors in or prove the design correctness of software programs or hardware circuit , the method consist of a patented knowledge acquisition and retrieval system disclosed in the US patent “Knowledge Acquisition and Retrieval Apparatus and Method” (U.S. Pat. No. 6 ,611 ,841).2. A knowledge reasoning method for determining if satisfying variable assignments of Boolean formulas exist , or to find errors in or prove the design correctness of software programs or hardware circuit , wherein OR operators of the formula are eliminated. The knowledge reasoning method converts the disjunction of the literals of the formula clauses to its semantic equivalent conjunction of literals that simplifies and unifies the information processing and enables a linear time efficiency of knowledge information processing.3. A knowledge reasoning method for determining if satisfying variable assignments of Boolean formulas exist , or to find errors in or ...

Preceding-Vehicle Identifying Apparatus And Following-Distance Control Apparatus

The preceding vehicle identifying apparatus calculates an integrated probability of existence of a curved road ahead of an own vehicle based on at least two of the curvature of the curved road, the track of a vehicle running ahead of the own vehicle and the own vehicle' having entered the curved road. The preceding vehicle identifying apparatus further calculates an own-vehicle lane probability which is a probability that the vehicle is running in the same lane as an own-vehicle lane in which the own vehicle is running based on the distance between a predicted running line of the own vehicle and the track of the vehicle running ahead of the own vehicle, and compensates the calculated own-vehicle lane probability based on the integrated probability. 1. A preceding-vehicle identifying apparatus for identifying , as a preceding vehicle , a vehicle running ahead of an own vehicle based on an own-vehicle lane probability which is a probability that the vehicle is running in the same lane as an own-vehicle lane in which the own vehicle is running , comprising:a detection signal acquiring section that receives at least two of a first detection signal indicative of a curvature of a curved road ahead of the own vehicle, a second detection signal indicative of a track of a vehicle running ahead of the own vehicle and a third detection signal indicative of the own vehicle' having entered the curved road, the first to third detection signals being outputted from first to third detecting sections, respectively, which are mounted on the own vehicle;a first calculating section that calculates at least two of a first probability of existence of the curved road ahead of the own vehicle based on the first detection signal, a second probability of existence of the curved road ahead of the own vehicle based on the second detection signal and a third detection signal of existence of the curved road ahead of the own vehicle based on the third detection signal, and calculates an ...

PREDICTION METHOD, PREDICTION SYSTEM AND PROGRAM

A method for predicting an output variable from explanatory values provided as sets of combinations of discrete variables and continuous variables includes receiving input data that contains the explanatory variables to predict the output variable; searching for each element in the combinations for elements in a plurality of sets with matching discrete variables using training data which the output variable has been observed; applying a function giving the degree of similarity between two sets weighed by a scale variable to each element in the input data, and to one or more elements found in the elements of the input data to calculate function values, and calculating the sum of the function values for all of the elements in the input data; and applying the calculated sum for each element to a prediction equation for predicting the output variable to calculate a prediction value of the output variable for each element. 1. A method for predicting an output variable from explanatory values provided as sets of combinations of discrete variables and continuous variables , wherein the method comprises:receiving, with a processing device, input data that contains the explanatory variables to predict the output variable;searching for each element in the combinations of discrete variables and continuous variables in the sets included in the input data for elements in a plurality of sets with matching discrete variables using training data related to a plurality of sets in which the output variable has been observed;applying a function giving the degree of similarity between two sets weighed by a scale variable that represents a scalar corresponding to the output variable and is obtained from a continuous variable to each element in the input data, and to one or more elements found in the elements of the input data to calculate function values, and for calculating the sum of the function values for all of the elements in the input data; andapplying the calculated sum for each ...

FREQUENT PATTERN EXTRACTION APPARATUS FREQUENT PATTERN EXTRACTION METHOD AND PROGRAM

There is provided a frequent pattern extraction apparatus. In the apparatus, time series data for an item operation is divided into a plurality of item operation sets. Using a set degree of similarity between the item operation sets, an abstract item operation set is generated. A pattern of sequences that frequently appear is extracted from the sequences in the abstract item operation set. Using the pattern of sequences that frequently appear, an item as well as an item operation are recommended to a user. 1. A frequent pattern extraction apparatus comprising:an acquisition unit configured to acquire time series data for a data operation in user units from a data operation history database;a dividing unit configured to divide the time series data for the data operation into a plurality of data operation sets;a set degree of similarity acquisition unit configured to acquire a set degree of similarity among the plurality of data operation sets;a generation unit configured to generate an abstract data operation set from the plurality of data operation sets using the set degree of similarity; andan extraction unit configured to extract a pattern of sequences that frequently appear among sequences in the abstract data operation set.2. The frequent pattern extraction apparatus according to claim 1 , wherein the dividing unit is configured to divide the time series data for the data operation into the plurality of data operation sets at fixed time intervals.3. The frequent pattern extraction apparatus according to claim 1 , wherein the dividing unit is configured to divide the time series data for the data operation into the plurality of data operation sets at locations where a time between data operations is equal to or more than a fixed duration.4. The frequent pattern extraction apparatus according to claim 1 , further comprising:a data degree of similarity acquisition unit configured to calculate a data degree of similarity among the data; anda clustering unit ...

VEHICLE WITH COMPUTING MEANS FOR MONITORING AND PREDICTING TRAFFIC PARTICIPANT OBJECTS

An anticipatory monitoring and prediction system can include methods for generating effective, accurate predictions of other traffic objects in the vicinity of an ego-car. The invention proposes to combine approximate probability distributions (ADPs) of agent states with Attractor Functions (AFs) for generating distributed probabilistic representations of the potential future states of the observed traffic objects. AFs are selected based on both the current road context, in which the ego-car is situated, and the current states of all participating objects. The generated predictions can be used to filter incoming sensory information for better object state estimations, rate the nature of the behavior of other traffic objects by comparing generated predictions with actual perceived sensor information, or infer accident likelihoods by comparing the predicted state distributions of objects and the ego-car. Warning and information signals or control commands can be issued in a driving assistance system. 1. A method for predicting a state of at least one physical traffic object , the method including the steps of:generating sensorial information, based on the sensorial information, computing an approximate probability distribution of a current state of the at least one object represented in the sensorial information, and predicting a future state of the at least one object by updating the approximate probability distribution using standard Bayesian filtering concepts,the method being characterized byusing at least one attractor function to modify the predicting step,wherein each attractor function represents a potential state trajectory from the current state to a potential future state determined according to context information.2. The method according to claim 1 , further including a step ofsensing with sensors for providing context information about surrounding objects for the at least one attractor function,wherein the sensors are such as one or more cameras, radars, ...

SYSTEM AND METHOD FOR MANAGING ELECTRIFIED PARKING SPACE UTILIZATION

The present disclosure provides systems and methods directed to managing parking space utilization and, more particularly, to maintaining a usage record and controlling access to on-street and other public charging spaces for electric vehicles, plug-in hybrid electric vehicles and other vehicle types, such as high efficiency fuel powered vehicles, for which preferential parking may be desirable. 1. A computer implemented method for managing by a vehicle management system , the availability of a plurality of electrified parking (EP) spaces , the method comprising:retrieving by a communication module of the vehicle management system, previously stored data indicative of a present demand for said plurality of (EP) spaces in a prescribed geographic region,retrieving by the communication module of the vehicle management system, previously stored data indicative of a historical usage and demand for said plurality of (EP) spaces,calculating by a processor of the vehicle management system, an aggregate predicted present demand for said plurality of (EP) spaces in accordance with a demand profile based on said data indicative of said present demand for said plurality of EP spaces and said data indicative of said historical usage and demand for said plurality of EP spaces, anddetermining by the processor of the vehicle management system, based on said calculated aggregate predicted present demand, whether to change a usage designation for at least one EP space from among said plurality of EP spaces from restricted use for only electrified vehicles to non-restricted use for electrified and non-electrified vehicles.2. The method according to claim 1 , further comprising collecting data pertaining to usage designations for a plurality of EP spaces claim 1 , said data identifying usage status according to vehicle type over a period of time.3. The method according to claim 1 , further comprising registering the non-electrified vehicle with the vehicle management system.4. The ...

MULTIPLE-PAIRS SHORTEST PATH FINDING METHOD AND SYSTEM

A method and system for solving shortest paths from multiple sources to multiple destinations faster. A method of solving the multiple-pairs shortest path problem is provided using processing by a computer having storage means. The method includes the steps of: (A) reading road network data S on multiple vertices as search starting points from a storage area of the computer; (B) reading road network data T on multiple vertices as search targets from the storage area of the computer; (C) selecting k vertices s, s, . . . , sk from the road network data S; (D) deleting the k vertices from the road network data S; (E) finding and storing, in the storage area, shortest path lengths from each of the selected k vertices to the road network data T; and (F) repeating the steps from (C) to (E) until the road network data S becomes empty. 1. A method of solving a multiple-pairs shortest path problem using processing by a computer having storage means , the method comprising the steps of:reading road network data S on multiple vertices as search starting points from a storage area of the computer;reading road network data T on multiple vertices as search destinations from the storage area of the computer;{'b': 1', '2, 'selecting k vertices s, s, . . . , sk, k>1, based on close distance measure in order using Dijkstra method from the road network data S;'}deleting the k vertices from the road network data S;finding and storing, in the storage area, shortest path lengths from each of the selected k vertices to the road network data T; andrepeating the steps of selecting k vertices, deleting k vertices, and finding and storing shortest path lengths until the road network data S becomes empty.2. The method according to claim 1 , wherein the step of finding and storing shortest path lengths comprises the steps of:setting search target vertices as a priority queue Q and substituting all the vertices of the road network data into the priority queue Q;storing predetermined maximum ...

SYSTEMS AND METHODS FOR MAKING CONTEXTUAL RECOMMENDATIONS

A method and a system for making contextual recommendations to users on a network-based system. For example, a first and second related category are selected and a relationship score is calculated representing an aspect of the relationship between the first and second related categories. A relationship type is selected to represent the relationship between the first and second categories using the relationship score. The relationship type is one of either a complement or a substitute. A complement relationship indicates a complementary relationship between the first and second related categories. While a substitute relationship indicates a substitutionary relationship between the first and second categories. The relationship type is stored associated with the first and second related categories. Using the selected relationship type, a recommendation is provided to a user on the network-based system. 1. A method for generating a recommendation , the method comprising:tracking, on a server including a processor, user activity associated with a user interacting with a network-based system;detecting a recommendation opportunity based at least in part on the user activity tracked within the network-based system, the recommendation associated with a first object accessed by the user;determining a purchase lifecycle location based at least in part on the tracked user activity;determining a recommendation relationship type based at least in part on the determined purchase lifecycle location;selecting a recommended object based at least in part on the recommendation relationship type and the first object; andgenerating the recommendation for the recommended object for presentation to the user on the network-based system.2. The method of claim 1 , wherein determining the recommendation relationship type includes selecting between a substitutionary relationship type and a complement relationship type.3. The method of claim 2 , wherein selecting the recommended object includes ...

INNOVATION EXPERT SYSTEM, IES, AND ITS PTR DATA STRUCTURE, PTR-DS

The claimed Innovation Expert System, IES, and for a given innovation/invention the claimed Data Structure DS—structurally being the same for any innovation/invention—meet two kinds of functional requirements. They support: 3) A method according to claim 2 , being subject to the additional limitation that for all dis(y) and J(dis(y)) of Y holds that they comprise {all doc.0-MUIs disclosing Y} respectively {all doc.CT-MUIs justifying dis(y)}.4) A method according to claim 2 , subject to the additional limitation that PTR-DS comprises for all BID-AC-concepts all SoJ(qcc(AC))-concepts.5) A method according to claim 1 , being subject to the additional limitation that its restart due to an incremental change of an item interactively performed by the user may reuse a part of the PTR-DS generated prior to this change.6) A method according to claim 1 , being subject to the additional limitation that the PTR-DS is implemented as one or several data objects on one or several computer systems.7) A method according to claim 1 , being subject to the additional limitation that the user may toggle anytime between several PTR-DSes based on different document.CTs.8) A method according to claim 1 , being subject to the additional limitation that at least one normally interactively performed step (a)-(k) of generating PTR-DS is performed automatically.9) A method according to claim 1 , being subject to the additional limitation that user-defined “technical-secondary-fact”-items of PTR's TT.0 may be introduced in the PTR-DS generation as additional items.10) A method according to claim 1 , being subject to the additional limitation that the generated PTR-DS comprises provisions for monitoring claim 1 , accounting claim 1 , and reporting about a range of modes of using its concepts.13) An apparatus according to claim 12 , being subject to the additional limitation that for all dis(y) and J(dis(y)) of Y holds that they comprise {all doc.0-MUIs disclosing Y} respectively {all doc.CT-MUIs ...

Analytical Generator of Key Performance Indicators For Pivoting On Metrics For Comprehensive Visualizations

A process context analyzer of an industrial process allows the flexibility of a client to customize process data that is captured, which can allow data capture to encompass a larger hierarchy of an enterprise or lower subset of a hierarchy with a requisite need for customization to match its architecture. Although analytics can be readily accessed for fixed context for which key performance indicators (KPIs) visualizations are defined, an opportunity for addressing abnormal operation or non-optimal performance is addressed by brining enhanced analytics that benefit from recognizing attributes of the flexible context. Thereby, requested calculated tags can be supplied, as well as offering a return on investment increase by pattern recognition of time frame dependent or ambient condition dependent variations in the flexible context. 1. A method , comprising:capturing, by a system comprising a processor, first data from a first plurality of process entities of an industrial process at a first site based on a context setting, wherein the context setting is variable for different industrial processes;comparing the first data to second data from a second plurality of process entities of the industrial process at a second site remote from the first site; andanalyzing a condition of the industrial process at the first site based on the comparing.2. The method of claim 1 , further comprising generating a key performance indicator visualization at a location remote from the first site and the second site based on the analyzing.3. The method of claim 1 , wherein the comparing further comprises recognizing a time dependency of the first data based on the second data.4. The method of claim 1 , wherein the analyzing further comprises:determining an ambient condition of the industrial process at the first site; andanalyzing the first data for a variance associated with the context setting as a function of the ambient condition.5. The method of claim 1 , wherein the analyzing ...