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Machine Learning to Integrate Knowledge and Natural Language Processing

Номер патента: US20190213258A1
Опубликовано: 11-07-2019
Автор(ы): David Bacarella, James H. Barnebee, IV, Nicholas Lawrence, Sumit Patel
Принадлежит: International Business Machines Corp
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Platform for adaptably engaging with live streaming applications, providing users access via an interface framework, receiving and processing user predictions using natural language processing and machine learning, reducing the predictions into standardized formulae, determining occurrence and value parameters pertaining to the predictions, formulating prediction value offers based on the occurrence and value parameters, and proposing prediction value offers via the interface framework

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Platform for adaptably engaging with live streaming applications, providing users access via an interface framework, receiving and processing user predictions using natural language processing and machine learning, reducing the predictions into standardized formulae, determining occurrence and value parameters pertaining to the predictions, formulating prediction value offers based on the occurrence and value parameters, and proposing prediction value offers via the interface framework

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Using machine learning for iconography recommendations

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Utilizing machine learning models to identify insights in a document

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Using machine learning for iconography recommendations

Номер патента: US20240161367A1. Автор: Mark Morrison,Briana Shaver. Владелец: Capital One Services LLC. Дата публикации: 2024-05-16.

Configurable machine learning systems through graphical user interfaces

Номер патента: US12039177B2. Автор: Shuvro Biswas,Paddy Lawton,Yutaka Hosoai. Владелец: Coupa Software Inc. Дата публикации: 2024-07-16.

Machine learning image processing

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Joint learning of time-series models leveraging natural language processing

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Learning-based automated machine learning code annotation with graph neural network

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Machine learning for intent matching engine

Номер патента: WO2024086009A1. Автор: Justin Bryce Betteridge,Connor Isaac Brinton,Samuel John Wenke,Jared Lamont BETTERIDGE,Victor The VONG. Владелец: Zoom Video Communications, Inc.. Дата публикации: 2024-04-25.

Machine Learning For Intent Matching Engine

Номер патента: US20240135232A1. Автор: Justin Bryce Betteridge,Connor Isaac Brinton,Samuel John Wenke,Jared Lamont BETTERIDGE,Victor The VONG. Владелец: Zoom Video Communications Inc. Дата публикации: 2024-04-25.

Method and device of generating language model and natural language processing method

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Machine Learning For Intent Matching Engine

Номер патента: US20240232680A9. Автор: Justin Bryce Betteridge,Connor Isaac Brinton,Samuel John Wenke,Jared Lamont BETTERIDGE,Victor The VONG. Владелец: Zoom Video Communications Inc. Дата публикации: 2024-07-11.

Intelligent inclusion/exclusion of documents via machine learning

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Utilizing machine learning to predict success of troubleshooting actions for repairing assets

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Machine Learning System

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Systems and methods for using machine learning to manage data

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System and method for machine learning architecture for interdependence detection

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Deduplicating electronic survey questions utilizing machine-learning model domain classification

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Methods and apparatus for natural language understanding in conversational systems using machine learning processes

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Method of training deep learning model and method of processing natural language

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Methods and apparatus for natural language understanding in conversational systems using machine learning processes

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Computer-implemented systems, methods and computer programs for adapting a machine-learning-architecture and for processing input data

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Machine learning methods and systems for assessing product concepts

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Bundle creation from description content using machine learning

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Scenario evaluation and projection using monte carlo simulation and machine learning

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Resolving temporal ambiguities in natural language inputs leveraging syntax tree permutations

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Method and system for recommending products based on collaborative filtering based on natural language programming analogy

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Schema-based integration of external apis with natural language applications

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Machine learning report generation

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Sampling content using machine learning to identify low-quality content

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System for controlling devices in iot networks using self-learning machine learning models

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Fact correction of natural language sentences using data tables

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Fact correction of natural language sentences using data tables

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Natural language interface for virtual environment generation

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Techniques for validating machine learning models

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Computer-implemented method for performing a computational task using a machine learning model

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Machine learning device and maching learning method of machine learning device

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A method for evaluating a plurality of different machine learning methods for use in a motor vehicle by an electronic computing device

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Machine learning platform

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Computer-implemented method for performing a computational task using a machine learning model

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Methods and systems for dynamically generating a plurality of machine learning systems during processing of a user data set

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Automated problem detection for machine learning models

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Method for natural language processing, method of training natural language processing model, and device

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Machine learning model training method, service data processing method, apparatuses, and systems

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System and method of forming training set for machine learning algorithm

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System, method, and computer program product for reducing dataset biases in natural language inference tasks using unadversarial training

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Machine learning for training NLP agent

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Validation of a machine learning model

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Semantics preservation for machine learning models deployed as dependent on other machine learning models

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Double Blind Machine Learning Insight Interface Apparatuses, Methods and Systems

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Systems and methods for automatically building a machine learning model

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A Real Time Measurement Method for Rheological Parameters of Drilling Fluid Based on Machine Learning

Номер патента: NL2033450A. Автор: Li Zhi,Li Zishuo,JIANG GUOSHENG,Shi Yanping,Chen Shuya,Yang Xianyu,Xue Man,Cai Jihua,Dai Zhaokai. Владелец: Univ China Geosciences Wuhan. Дата публикации: 2023-06-01.

Machine learning failure recovery apparatus and control method thereof

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Digital watermarking of machine learning models

Номер патента: US20210019605A1. Автор: Farinaz Koushanfar,Bita DARVISH ROUHANI,Huili Chen. Владелец: UNIVERSITY OF CALIFORNIA. Дата публикации: 2021-01-21.

Auto discovery protocol and virtual grouping of machine learning models

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Training and inference management for composite machine learning scenarios

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System and method for data visualization using machine learning and automatic insight of outliers associated with a set of data

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Utilizing multiple stacked machine learning models to detect deepfake content

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Federated learning service in a provider network and training machine learning models using devices external to the provider network

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A method and a system for applying machine learning to an application

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A Real Time Measurement Method for Rheological Parameters of Drilling Fluid Based on Machine Learning

Номер патента: NL2033450B1. Автор: Li Zhi,Li Zishuo,JIANG GUOSHENG,Shi Yanping,Chen Shuya,Yang Xianyu,Xue Man,Cai Jihua,Dai Zhaokai. Владелец: Univ China Geosciences Wuhan. Дата публикации: 2024-01-18.

Digital watermarking of machine learning models

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Storage medium, machine learning method, and machine learning device

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Method of data exchange for maintainace of artificial intellegence or machine learning models in wireless communication

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Automated metadata asset creation using machine learning models

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Technical injection system for injecting a retrained machine learning model

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Utilizing machine learning to detect malicious executable files efficiently and effectively

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Integrated machine learning training

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Meta-automated machine learning with improved multi-armed bandit algorithm for selecting and tuning a machine learning algorithm

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System and method for using machine learning supporting natural language processing analysis

Номер патента: EP4078428A1. Автор: Tony T. Truong,Larissa C. Maksi,William G. Matola,Nicholas W. Barrett. Владелец: Raytheon Co. Дата публикации: 2022-10-26.

System and method for using machine learning supporting natural language processing analysis

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Natural language text generation from a set of keywords using machine learning and templates

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Multi-stage machine learning model training for key-value extraction

Номер патента: US20240221407A1. Автор: TAO Sheng,Jun Qian,Yazhe Hu,Jeaff Wang,Mengqing Guo. Владелец: Oracle International Corp. Дата публикации: 2024-07-04.

Machine learning program, machine learning device, and machine learning method

Номер патента: EP4177797A1. Автор: Shingo Okuno. Владелец: Fujitsu Ltd. Дата публикации: 2023-05-10.

Software model testing for machine learning models

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Data sovereignty compliant machine learning

Номер патента: EP3616056A1. Автор: Eric Chen. Владелец: Cisco Technology Inc. Дата публикации: 2020-03-04.

Methods and Apparatus for Training a Machine Learning Algorithm

Номер патента: US20230259825A1. Автор: Daniel Larsson,Shirui Cheng,Dariusz Filipski. Владелец: Volvo Car Corp. Дата публикации: 2023-08-17.

Neural method completion based on natural language and source code

Номер патента: US20240256230A1. Автор: Neelakantan Sundaresan,Alexey Svyatkovskiy,Colin Bruce CLEMENT,Dawn Drain. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2024-08-01.

No-coding machine learning pipeline

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Systems and methods for subscriber-based adaptation of production-implemented machine learning models of a service provider using a training application

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System and method for data visualization using machine learning and automatic insight of facts associated with a set of data

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Systems and methods for determining a user specific mission operational performance metric, using machine-learning processes

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Transfer learning with machine learning systems

Номер патента: US12061991B2. Автор: Chia-Yu Chen,Pin-Yu Chen,I-Hsin Chung,Sijia Liu,Tsung-Yi Ho,Yun-Yun Tsai. Владелец: National Tsing Hua University NTHU. Дата публикации: 2024-08-13.

Training and operating a machine learning system

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Methods and mechanisms for confidential and privacy-preserving multi-stakeholder machine learning

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Double blind machine learning insight interface apparatuses, methods and systems

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Intelligently optimized machine learning models

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Unattended object detection using machine learning

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Method of data exchange for maintainace of artificial intellegence or machine learning models in wireless communication

Номер патента: US20240283709A1. Автор: Istvan Zsolt Kovacs,Fahad SYED MUHAMMAD,Dimitri GOLD,Sakira HASSAN. Владелец: NOKIA TECHNOLOGIES OY. Дата публикации: 2024-08-22.

Devices and methods employing optical-based machine learning using diffractive deep neural networks

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Debugging Correctness Issues in Training Machine Learning Models

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Method of data exchange for maintainace of artificial intelligence or machine learning models in wireless communication

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Machine-learning program, method, and apparatus for measuring, by pore electric resistance method, transient change in ion current associated with passage of to-be-measured particles through pores and for analyzing pulse waveform of said transient change

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Protection of a machine-learning model

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Non-transitory computer-readable recording medium storing machine learning program, machine learning method, and machine learning apparatus

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Integrating domain knowledge with machine learning to optimize electrical submersible pump performance

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Use of machine learning to increase or decrease level of difficulty in beating video game opponent

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Machine-learning device and magnetic bearing device

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Verification and synthesis of cyber physical systems with machine learning and constraint-solver-driven learning

Номер патента: US20240202525A1. Автор: Sanjai Narain,Emily Chun Mak. Владелец: Perspecta Labs Inc. Дата публикации: 2024-06-20.

Deploying simplified machine learning models to resource-constrained edge devices

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Source Selection based on Diversity for Machine Learning

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Use of machine learning to increase or decrease level of difficulty in beating video game opponent

Номер патента: US20210023453A1. Автор: Matthew A. DEVICO. Владелец: Sony Interactive Entertainment LLC. Дата публикации: 2021-01-28.

Source selection based on diversity for machine learning

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Method for training a machine learning model for optical fiber sensing measurements

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Systems and method for evaluating and selectively distilling machine-learned models on edge devices

Номер патента: EP4058947A1. Автор: Matthew Sharifi. Владелец: Google LLC. Дата публикации: 2022-09-21.

Adapting a machine learning model based on a second set of training data

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Machine learning model architecture for combining network data and sequential data

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Machine learning model trained based on music and decisions generated by expert system

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System, method, and computer program product for denoising sequential machine learning models

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Machine Learning Model Trained based on Music and Decisions Generated by Expert System

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Systems and methods for using machine learning to improve processes for achieving readiness

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Apparatus, method, and computer program product for configuration, association, registration, training, and monitoring of machine learning models for operational systems

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Machine learning device

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Machine learning to adapt extraction to different documents

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Directed management of interactive elements in an interactive environment utilizing machine learning

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Machine learning techniques for predictive periodontitis assessment using measurement data captured by a personal oral health care device

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Machine learning techniques for predictive periodontitis assessment using measurement data captured by a personal oral health care device

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Generative machine learning framework

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Generative machine learning framework

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Scalable-effort classifiers for energy-efficient machine learning

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Futureproofing a machine learning model

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Fermionic tensor machine learning for quantum chemistry

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Machine-learning method for automatic instance assignment under fairness and capacity constraints

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Multi-stage training of machine learning models

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System and method for training a machine learning model

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Systems and methods for machine-learned models having convolution and attention

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Transfer knowledge from auxiliary data for more inclusive machine learning models

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Techniques for accelerating machine learning models

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Image enhancement based on removal of image degradations by learning from multiple machine learning models

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Non-transitory computer-readable recording medium, machine learning method, and information processing device

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Training a machine learning model with limited training data

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Machine learning model management

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Systems and techniques for measuring model sensitivity and feature importance of machine learning models

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Fingerprinting and machine learning for production predictions

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Fingerprinting and machine learning for production predictions

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Method and apparatus for non-invasive estimation of glycated hemoglobin or blood glucose by using machine learning

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Generation and deployment of context-specific machine learning models

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Futureproofing a machine learning model

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Physics compliance indicator (pci) for machine learning

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Machine learning optimization of control code in an industrial automation environments

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Processes, machines, and articles of manufacture related to machine learning for predicting bioactivity of compounds

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Computer-readable recording medium storing machine learning program and machine learning method

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Machine learning to detect and address door protruding from vehicle

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Earth modeling methods using machine learning

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Building units for machine learning models for denoising images and systems and methods for using same

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Control device and machine learning device

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Multi-stage training of machine learning models

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Optimization of parameter values for machine-learned models

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Instruction Fine-Tuning Machine-Learned Models Using Intermediate Reasoning Steps

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Semi-supervised machine learning method and system suitable for identification of patient subgroups in electronic healthcare records

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Semi-Supervised Machine Learning Method and System Suitable for Identification of Patient Subgroups in Electronic Healthcare Records

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Computer-implemented method for validating a trained machine learning model with regard to any potential misclassification and associated safety-critical consequence

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Systems and methods for progressive learning for machine-learned models to optimize training speed

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Systems and methods for progressive learning for machine-learned models to optimize training speed

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Methods for computational identification of functional changes to amino acid residues caused by genetic variants, and methods of computational prediction of chemotherapy efficacy using machine learning applied to gene expression data

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Machine learning optimization for fraud detection

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Machine learning model management

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Machine learning model management

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Machine learning device, additive manufacturing system, machine learning method for welding condition, method for determining welding condition, and a non-transitory computer readable medium

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Methods and systems for verifying and predicting the performance of machine learning algorithms

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Systems and methods for machine-learned models having convolution and attention

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Systems and Methods for Progressive Learning for Machine-Learned Models to Optimize Training Speed

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Methods, systems, and computer programs for adjusting a first and a second machine-learning model and for pro-cessing a set of images, imaging system

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Generation and deployment of context-specific machine learning models

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Using machine learning and 3d projection to guide medical procedures

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Performance determination of machine learning models based on decision boundary geometry

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Methods and apparatus for automatic sale forecasts using machine learning processes

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Machine learning model training

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Machine learning apparatus, machine learning method, and computer-readable recording medium

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System and method for using artificial intelligence and machine learning to streamline a function

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Training a machine learning model with limited training data

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Method for controlling a dialogue and natural language recognition system in a platform of virtual assistants

Номер патента: RU2759090C1. Автор: Станислав Игоревич Ашманов,Павел Сергеевич Сухачев,Федор Кириллович Зоркий. Владелец: Общество с ограниченной ответственностью "Виртуальные Ассистенты". Дата публикации: 2021-11-09.

Methods and systems for using natural language processing and machine-learning to produce vehicle-service content

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Generating prompt recommendations for natural language processing tasks

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MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING (NLP)-BASED SYSTEM FOR SYSTEM-ON-CHIP (SoC) TROUBLESHOOTING

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Machine learning system for generating recommended electronic actions

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Cognitive system with ingestion of natural language documents with embedded code

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Methods and systems for providing universal portability in machine learning

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Natural language processing system with machine learning for allocation of information technology resources

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Methods and systems for providing universal portability in machine learning

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Conversational and interactive search using machine learning based language models

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Natural language database interface

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Generation of a natural language resource using a parallel corpus

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Dynamic cross-platform ask interface and natural language processing model

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