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TAFSSL: task adaptive feature sub-space learning for few-shot learning

Номер патента: US11816593B2
Опубликовано: 14-11-2023
Автор(ы): Eliyahu Schwartz, Joseph Shtok, Leonid KARLINSKY
Принадлежит: International Business Machines Corp
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Techniques for disentangled variational speech representation learning for zero-shot voice conversion

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The SoupSauce specification is an extension to the invention for block chain processing for consistent asynchronous, non-linear, localized, state-driven and/or condition-based procedurality in distributed systems (and enabling safer application of AI learning) for distributed information system processing for wide regulatory purposes related to digital technologies.

Номер патента: AU2023203325A1. Автор: Julianne Mary Cripps Clark,Julianne Cripps Clark. Владелец: Individual. Дата публикации: 2023-07-06.

The PrioSab specification is an extension to the invention for block chain processing for consistent asynchronous, non-linear, localized, state-driven and/or condition-based procedurality in distributed systems (and enabling safer application of AI learning) for distributed information system processing where priority processing schemes and reconfiguration or voting using redundancy and signal continuity can be designated and controlled on or within a device using a variety of different specified mechanisms.

Номер патента: AU2023203178A1. Автор: Julianne Cripps Clark. Владелец: Individual. Дата публикации: 2023-06-15.

IntegPplz is an extension to block chain processing (ie for consistent asynchronous, non-linear, localized, state-driven and/or condition-based procedurality in distributed systems (and enabling safer application of AI learning)) for situations where information related to people, assets and activities with commercial /care implications that allows degrees of centralized management of collaborative arrangements including technical processes and contracts and/or info flows.

Номер патента: AU2023201205A1. Автор: Julianne Cripps Clark. Владелец: Individual. Дата публикации: 2023-03-30.

EQoStaple device is a scope3 PARTIAL offset tag functionally complementing the CleanStaple zero sum Scope 3 supply tag. It is accompanied by an extension to the inventions for Emissions tracking and for block chain processing that supports the processing for such tags (consistent asynchronous, non-linear, localized, state-driven and/or condition-based procedurality in distributed systems and enabling safer application of AI learning) for data/use cases where there is no access or definition of a single global time signal or where time zone information is less effective due to privacy protectio

Номер патента: AU2023200086A1. Автор: Julianne Cripps Clark. Владелец: Individual. Дата публикации: 2023-03-23.

Intelligent learning for explaining anomalies

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Gradient grouping for compression in federated learning for machine learning models

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Randomized reinforcement learning for control of complex systems

Номер патента: EP3682301A1. Автор: Siegmund DÜLL,Steffen Udluft,Kai Heesche,Raymond S. Nordlund,Marc Christian Weber. Владелец: SIEMENS AG. Дата публикации: 2020-07-22.

Randomized reinforcement learning for control of complex systems

Номер патента: US20190130263A1. Автор: Siegmund DÜLL,Steffen Udluft,Kai Heesche,Raymond S. Nordlund,Marc Christian Weber. Владелец: SIEMENS AG. Дата публикации: 2019-05-02.

Randomized reinforcement learning for control of complex systems

Номер патента: WO2019086243A1. Автор: Siegmund DÜLL,Steffen Udluft,Kai Heesche,Raymond S. Nordlund,Marc Christian Weber. Владелец: SIEMENS AKTIENGESELLSCHAFT. Дата публикации: 2019-05-09.

Use of machine learning for detecting cylinder intake and/or exhaust valve faults during operation of an internal combustion engine

Номер патента: WO2022146605A1. Автор: Louis J. Serrano,Shikui Kevin Chen,Xiaoping CAI,Aditya MANDAL. Владелец: TULA TECHNOLOGY INC.. Дата публикации: 2022-07-07.

Active learning for scalable arrangement and grouping of data

Номер патента: US20230376164A1. Автор: Michael Jean-Marie Aupetit,Abdelkader Baggag,Ala Abuthawabeh. Владелец: Qatar Foundation for Education Science and Community Development. Дата публикации: 2023-11-23.

Deep reinforcement learning for skill recommendation

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Multi-user scheduling method and system based on reinforcement learning for 5g iot system

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Multitask transfer learning for optimization of targeted promotional programs

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Data augmentation for multi-task learning for depth mapping and semantic segmentation

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Continual in-line learning for radar-based gesture recognition

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Enablement of federated machine learning for terminals to improve their machine learning capabilities

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Neurosynaptic Processing Core with Spike Time Dependent Plasticity (STDP) Learning For a Spiking Neural Network

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Online learning for dynamic Boltzmann machines with hidden units

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Machine learning for csi feedback considering polarizations

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Machine Learning For Recognizing And Interpreting Embedded Information Card Content

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A three-dimensional measurement method based on end-to-end deep learning for speckle projection

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Enablement of federated machine learning for terminals to improve their machine learning capabilities

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Continual in-line learning for radar-based gesture recognition

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Enablement of federated machine learning for terminals to improve their machine learning capabilities

Номер патента: EP4282135A1. Автор: Anna Pantelidou,Samad Ali,Rauli Jarkko Kullervo JÄRVELÄ. Владелец: NOKIA TECHNOLOGIES OY. Дата публикации: 2023-11-29.

Residual adapters for few-shot text-to-speech speaker adaptation

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Systems and methods for few shot protein generation

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Residual adapters for few-shot text-to-speech speaker adaptation

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Residual adapters for few-shot text-to-speech speaker adaptation

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Point cloud classification method of point cloud graph neural network based on self-adaptive feature fusion

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Target detection method and system based on bidirectional adaptive feature pyramid

Номер патента: CN113011442A. Автор: 李新,李贺贺. Владелец: Shandong University. Дата публикации: 2021-06-22.

Point cloud classification method of point cloud graph neural network based on self-adaptive feature fusion

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Turn aware machine learning for traffic behavior prediction

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Machine learning for document compression

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Adaptive feature extraction to detect letters and edges on vehicle landing surfaces

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Adaptive feature recognition tool

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Machine learning for detection of diseases from external anterior eye images

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Trajectory value learning for autonomous systems

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Self-Supervised Machine Learning for Medical Image Analysis

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Machine learning for mask optimization in inverse lithography technologies

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Trajectory value learning for autonomous systems

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Self-supervised machine learning for medical image analysis

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Systems, methods, and apparatuses for implementing systematic benchmarking analysis to improve transfer learning for medical image analysis

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Synthetic Data Generation for Machine Learning for a Cardiac Magnetic Resonance Imaging Task

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Computing platform using machine learning for foreground mask estimation

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Property learning for analytical functions

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Machine learning for machine-assisted data classification

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Techniques to add smart device information to machine learning for increased context

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Continuous learning for document processing and analysis

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Utilizing reinforcement learning for goal oriented website navigation

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Utilizing reinforcement learning for goal oriented website navigation

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Apparatus and methods for using bayesian program learning for efficient and reliable generation of knowledge graph data structures

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Automated feedback and continuous learning for query optimization

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Utilizing reinforcement learning for goal oriented website navigation

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Utilizing reinforcement learning for goal oriented website navigation

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Techniques to leverage machine learning for search engine optimization

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Transfer machine learning for attribute prediction

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Transfer machine learning for attribute prediction

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Record matching model using deep learning for improved scalability and adaptability

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Machine learning for machine-assisted data classification

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Transfer machine learning for attribute prediction

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Property learning for analytical functions

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Systems and methods for automated data processing using machine learning for vehicle loss detection

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Systems and methods for coupled representation using transform learning for solving inverse problems

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Organizational machine learning for alert processing

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Pre-training and/or transfer learning for sequence taggers

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Using machine learning for generating chemical product formulations

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Machine-learning for state determination and prediction

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Data Augmentation and Adaptive Curriculum Learning for Sentence-level Relation Extraction

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System and method for heterogeneous transferred learning for enhanced cybersecurity threat detection

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Machine learning for determining protein structures

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Dynamic learning for object tracking

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Virtual imputation learning for one-sided material properties

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Using machine learning for generating chemical product formulations

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Machine learning for determining protein structures

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Complementary learning for multi-modal saliency detection

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Reinforced generation: reinforcement learning for text and knowledge graph bi-directional generation using pretrained language models

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Machine learning for non-imaging data using task-dependent feature dependencies

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Temporal contrastive learning for semi-supervised video action recognition

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Contrastive self-supervised machine learning for commonsense reasoning

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Shared network learning for machine learning enabled text classification

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Machine learning for determining protein structures

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Machine learning for virtual machine migration plan generation

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Machine learning for virtual machine migration plan generation

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Systems and methods for mutual learning for topic discovery and word embedding

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Utilizing Machine Learning for smart quarantining of potentially malicious files

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Optimized policy-based active learning for content detection

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Systems and methods for generating and using semantic images in deep learning for classification and data extraction

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Reinforcement learning for automated individualized negotiation and interaction

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Model selection learning for knowledge distillation

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Computer-implemented method for machine learning for operating a vehicle component, and method for operating a vehicle component

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Machine learning for identifying idle sessions

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Machine learning for identifying idle sessions

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Wage garnishments processing using machine learning for predicting field values

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Method and system for exemplar learning for templatizing documents across data sources

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De-centralised learning for re-identification

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Method and system for online learning for mixture of multivariate hawkes processes

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Pedestrian retrieval method based on adaptive feature pyramid

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Machine Learning for Predicting Incremental Changes in Session Data

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Machine learning for predicting incremental changes in session data

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Offline meta reinforcement learning for online adaptation for robotic control tasks

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Feature extraction and machine learning for evaluation of media-rich coursework

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Zero-shot deep learning for multi-target rf positioning

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Interpretable machine learning for data at scale

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Machine learning for computational patterning

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Machine learning for artificial parcel data generation

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Federated learning for media content recommendation

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Offline machine learning for automatic action determination

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Machine learning for artificial parcel data generation

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Self-supervised learning for artificial intelligence-based systems for medical imaging analysis

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Methods and systems for machine-learning for prediction of grid carbon emissions

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Machine learning for antibody optimization

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Machine learning for property prediction and recipe recommendation of polyolefin-based polymer blends

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System and method for federated learning for automotive application with knowledge distillation by teacher model

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Machine learning for rf impairment detection

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Apparatus and methods for using bayesian program learning for efficient and reliable knowledge reasoning

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Decentralized cross-node learning for audience propensity prediction

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Machine learning for syncing multiple fpga ports in a quantum system

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Reinforcement learning for continued learning of optimal battery charging

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Machine learning for splice improvement

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Inverse reinforcement learning for adaptive cruise control

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Dual-model machine learning for process control and rules controller for manufacturing equipment

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Machine learning for effective patient planning

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Номер патента: EP4315321A1. Автор: Yu Zhang,Ian McGraw,Liangliang Cao,Yanzhang He,David Qiu,Qiujia Li. Владелец: Google LLC. Дата публикации: 2024-02-07.

Multi-task learning for end-to-end automated speech recognition confidence and deletion estimation

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Machine learning for designing antibodies and nanobodies in-silico

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Adaptive thermal comfort learning for optimized hvac control

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Smart control system and method based on machine learning for modulating end-tidal concentration levels by means of adjustments to the volume and concentration of an incoming respiratory gas flow in real time

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System and method for adaptive learning for hospital census simulation

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Industrial control system with machine learning for compressors

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Generative Modeling Leveraging Deep Learning for Antibody Affinity Tuning

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Machine learning for amino acid chain evaluation

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Reinforcement learning for autonomous lane change

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Machine learning for phase detection autofocus

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Cycle Thresholds in Machine Learning for Forecasting Infection Counts

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Machine learning for amino acid chain evaluation

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Active learning for large-scale semi-supervised creation of speech recognition training corpora

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Adaptive learning for robotic arthroplasty

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Biomolecule fitness inference using machine learning for drug discovery with directed evolution

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Massive multilingual speech-text joint semi-supervised learning for text-to-speech

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Machine learning for optimization of power distribution to electric vehicle charging ports

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Lifelong robot learning for mobile robots

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System and method for dynamic backlight and ambient light sensor control management with semi-supervised machine learning for digital display operation

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Machine learning for designing antibodies and nanobodies in-silico

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Lifelong robot learning for mobile robots

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Reinforcement learning for final setups and intermediate staging in clear tray aligners

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Machine learning for improving quality of voice biometrics

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Cycle thresholds in machine learning for forecasting infection counts

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System and Method for Unsupervised and Active Learning for Automatic Speech Recognition

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Machine learning for moist convection: modeling novel method of aqua condensation using renewable energy

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Internet of things (iot) device identification on corporate networks via adaptive feature set to balance computational complexity and model bias

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WALL PLATE ASSEMBLY WITH SIGNAL-ADAPTIVE FEATURES

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MOBILE COMMUNICATION DEVICES HAVING ADAPTABLE FEATURES AND METHODS FOR IMPLEMENTATION

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Adaptive feature behaviour

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Using machine learning for determining relaxation of measurements performed by a user equipment

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Regularization parameter multi-task adaptive filter network

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Systems and methods for electromechanical wave imaging with machine learning for automated activation map generation

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Rate control based on machine learning for video encoders

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Fill parameter learning for wet plate clutches based on an output of a torque converter

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Passive inter-modulation detection machine learning for radio networks

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Application of machine learning for building predictive models enabling smart fail over between different network media types

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Monitoring the performance of a model based on machine learning for reporting channel state information

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Learning for quality-of-experience with low quality-of-experience feedback

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Automated issue resolution learning for an intent manager

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Learning for quality-of-experience with low quality-of-experience feedback

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Reinforcement learning for son parameter optimization

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Machine learning for computer security

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Smart machines and machine learning for hemodynamic support devices

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Adaptive Machine Learning For Dynamic Wireless Communication Configuration

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Fourier transform-based machine learning for well placement

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Automated header float optimization and field learning for a work vehicle

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Machine learning for computer security

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Adaptive clutch slip learning for critical capacity clutch fusing in a continuously variable transmission

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Machine learning for handover

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Machine learning for beam prediction

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System and method for close-in-bore learning for a hybrid vehicle

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System and method for close-in-bore learning for a hybrid vehicle

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Machine learning for wireless communication

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Machine learning for wireless communication

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Deep reinforcement learning for adaptive network slicing in 5g for intelligent vehicular systems and smart cities

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Machine learning for wireless communication

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A kind of Grassmann manifold domain adaptive approach based on Symmetric matrix sub-space learning

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OBJECT DETECTION SYSTEM BASED ON A POOL OF ADAPTIVE FEATURES

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METHOD FOR AUTOMATIC LICENSE PLATE RECOGNITION USING ADAPTIVE FEATURE SET

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SYSTEMS AND METHODS OF SAVING POWER BY ADAPTING FEATURES OF A DEVICE

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ADAPTIVE FEATURE RECOGNITION TOOL

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HTML Directed Adaptive Features for Mobile Applications

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Self-adaptation feature extracting method based on image partitioning

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Multi-sensor image fusion method based on block self-adaptive feature tracking

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Task adaptive standard pattern learning device

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The Algo specification is an extension to the invention for block chain processing for consistent asynchronous, non-linear, localized, state-driven and/or condition-based procedurality in distributed systems (and enabling safer application of AI learning) for distributed information system processing where algorithmic approaches should be produced, systemized and managed in a way to be shared that is as consistent as possible with other shared systemizing structures.

Номер патента: AU2023900667A0. Автор: Julianne Cripps Clark. Владелец: Individual. Дата публикации: 2023-03-30.

ConfidOrder is an extension to block chain processing (ie for consistent asynchronous, non-linear, localized, state-driven and/or condition-based procedurality in distributed systems (and enabling safer application of AI learning)) for information system processing related to formalizing order by independent or regulated processes and publically accountable means according to regulation over individuals and organizations within one or more jurisdictions enabled by personal or other ‘constitutional’ devices and associated systems, including for governance checks in voting.

Номер патента: AU2023900226A0. Автор: Julianne Cripps Clark. Владелец: Individual. Дата публикации: 2023-02-16.

ClarZ is a possible patent of addition extension to the invention for block chain processing for consistent asynchronous, non-linear, localized, state-driven and/or condition-based procedurality in distributed systems (and enabling safer application of AI learning) for data/use cases where there is no access or definition of a single global time signal or where time zone information becomes less effective due to privacy protections.

Номер патента: AU2023900010A0. Автор: Julianne Cripps Clark. Владелец: Individual. Дата публикации: 2023-01-19.

Systems and Methods for Learning-based Network. The present invention relates generally to social network field and more specifically to a new and useful network to connect learners with their peers and educators. The platform creates a learning chain to link topics in a logical sequence so learners who struggle with a certain topic, can check backward learning chain for the prior topics to be learned and learners can check forward learning chain to figure out what to learn for their dream job. A learning management system is accessible along the chain that includes learning material.

Номер патента: AU2019900502A0. Автор: Nader Armaneous,Amir Armanious. Владелец: Learning Chain. Дата публикации: 2019-02-28.

Desk for learning for small children

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Federated learning for management of a physical system

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Distinguishing matrix, capable of learning, for groups of analogue signals

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Online continual learning for robust indoor object recognition

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Distinguishing matrix, capable of learning, for groups of analogue signals

Номер патента: AU295962B2. Автор: Muller Peter. Владелец: Standard Telephone and Cables Pty Ltd. Дата публикации: 1966-12-01.

Distinguishing matrix that is capable of learning, for analogue signals

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Distinguishing matrix that is capable of learning, for analog signals

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Distinguishing matrix that is capable of learning, for analogue signals

Номер патента: AU287933B2. Автор: . Владелец: Standard Telephone and Cables Pty Ltd. Дата публикации: 1965-08-05.

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