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Efficiently generating machine learning models configured to forecast information regarding time until occurrence of clinical events

Номер патента: US20220336088A1
Опубликовано: 20-10-2022
Автор(ы): Bex George Thomas, Sreenath Sundar, Yiming Feng
Принадлежит: GE Precision Healthcare LLC
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Systems and methods for automatically building a machine learning model

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Utilizing models to generate identifiers that identify and provide authentication for machine learning models

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Dynamic machine learning on premise model selection based on entity clustering and feedback

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Trust related management of artificial intelligence or machine learning pipelines in relation to the trustworthiness factor explainability

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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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Auto discovery protocol and virtual grouping of machine learning models

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Machine learning method

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Systems and methods for evaluating machine-learning models and predictions

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Decision boundary enhancement for learning models

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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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Machine learning techniques for efficient data pattern recognition across databases

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Computer-based systems involving pipeline and/or machine learning aspects configured to generate predictions for batch automation/processes and methods of use thereof

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Instantiating machine-learning models at on-demand cloud-based systems with user-defined datasets

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Facilitating implementation of machine learning models in embedded software

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Generating and/or utilizing a machine learning model in response to a search request

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Offline evaluation of machine learning models with noise reduction

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Machine learning model training method and device, and expression image classification method and device

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Methods and apparatus for management of a machine-learning model to adapt to changes in landscape of potentially malicious artifacts

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Utilizing a joint-learning self-distillation framework for improving text sequential labeling machine-learning models

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Storage medium, machine learning method, and machine learning device

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Tiered evaluation metric for comprehensively evaluating machine learning models

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Machine learning model aggregation

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Automated metadata asset creation using machine learning models

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Machine Learning Model Deployment in Inference System

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Mapping machine learning models to answer queries

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Providing a secure and collaborative feedback mechanism for machine learning models

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Automatically determining a root-cause indicator of a technical system concerning an output of a machine learning model

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Automatically determining a root-cause indicator of a technical system concerning an output of a machine learning model

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Computer-implemented method for generating a combined machine learning model

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Moving decision boundaries in machine learning models

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Enhanced machine learning techniques using differential privacy and selective data aggregation

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Systems and methods for rapidly building, managing, and sharing machine learning models

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Federated learning technique for applied machine learning

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Transfer learning method for a machine learning system

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Machine learning-based supply chain performance predictions

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Using Chains of Thought to Prompt Machine-Learned Models Pre-Trained on Diversified Objectives

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System, method, and computer program product for segmentation using knowledge transfer based machine learning techniques

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Selection of machine learning model

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Providing a machine learning model based on desired metric values

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Data sovereignty compliant machine learning

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Translating between programming languages using machine learning

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Machine learning model training method and related device

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Translating between programming languages using machine learning

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Active machine learning

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Device, system and method for training machine learning models using messages associated with provider objects

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Machine learning program, method and device for estimating the electromagnetic wave radiation situation of an electronic circuit

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Data sovereignty compliant machine learning

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Translating between programming languages using machine learning

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Providing a machine learning model based on desired metric values

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

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Machine learning techniques for predicting classification progression

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Machine learning model capability assessment

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Machine learning framework for generic object detection

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Machine learning techniques for reinforcement learning using cross-support likelihood model similarity determinations

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Deploying simplified machine learning models to resource-constrained edge devices

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Embedding optimization for a machine learning model

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Distributed machine learning compiler optimization

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System and method for providing personal machine learning models

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Sparsity-inducing federated machine learning

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Machine learning model training method and machine learning model training device

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Machine learning model management

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On-device machine learning platform to enable sharing of machine-learned models between applications

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Automatically updating a card-scan machine learning model based on predicting card characters

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Secure multi-user machine learning on a cloud data platform

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Attention-based classifier machine learning models using dual-positional-mode segment embeddings

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

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Generating and deploying machine learning models packages

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Generation and deployment of context-specific machine learning models

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Method, system, and computer program product for improving machine learning models

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Machine Learning Model Training Method and Device and Electronic Equipment

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Automated machine learning method and apparatus therefor

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Techniques for evaluating an effect of changes to machine learning models

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Visually creating and monitoring machine learning models

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Optimization of parameter values for machine-learned models

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Optimised Machine Learning

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Machine learning model management

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Machine learning model management

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System and method for monitoring machine learning models

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Machine learning platform

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Optimised machine learning

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Federated machine learning in adaptive training systems

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Federated machine learning in adaptive training systems

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Machine learning model training

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Verifying confidential machine learning models

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Multi-phase training of machine learning models for search ranking

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Predicting customer interaction using deep learning model

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Method and system for performing machine learning

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Input generation for multimodal learning based machine learning models

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Computer-readable recording medium storing machine learning program, machine learning method, and information processing apparatus

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Techniques for heterogeneous continual learning with machine learning model architecture progression

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Machine learning training content delivery

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Machine Learning Model Understanding As-A-Service

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Methods, apparatus and medium for training an articifical intelligence or machine learning model

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Computer-implemented method for providing explanations concerning a global behaviour of a machine learning model

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Computer-implemented method for providing explanations concerning a global behaviour of a machine learning model

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Batch selection policies for training machine learning models using active learning

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

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Systems and methods for uncertainty prediction using machine learning

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Batch selection policies for training machine learning models using active learning

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Dynamic access control using machine learning

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Demand Forecasting Using Automatic Machine-Learning Model Selection

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Adverse features neutralization in machine learning

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Machine learning development of food recipes

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Machine learning approach to detecting and tracing aggregated ecosystem attributes

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Temporal sequence causal transformer machine learning model

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Machine learning-implemented chat bot database query system for multi-format database queries

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Individualized classification thresholds for machine learning models

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Individualized classification thresholds for machine learning models

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Confidence score based machine learning model training

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Machine learning model remote management in advanced communication networks

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Futureproofing a machine learning model

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Method for building machine learning models for artificial intelligence based information technology operations

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Automated Explanation of Machine Learning Predictions Using Classification Score Targeting

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Biased based delegation in machine learning models

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Protection of a machine-learning model

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Machine learning model for computing feature vectors encoding marginal distributions

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Data drift impact in a machine learning model

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Assessing machine learning bias using model training metadata

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Compression of Machine-Learned Models via Entropy Penalized Weight Reparameterization

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Learning apparatus that adjusts training set used for machine learning, electronic apparatus, learning method, control method for electronic apparatus, and storage medium

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Machine learning techniques that identify attribution of small signal stimulus in noisy response channels

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Methods and apparatuses for generating one or more answers relating to functioning of a machine learning model

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Natural language analysis of a command line using a machine learning model to generate a natural language description of the command line

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Federated Learning in Machine Learning

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System(s) and method(s) for jointly learning machine learning model(s) based on server data and client data

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Systems and methods for on-device training machine learning models

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Techniques for training and analyzing a machine learning model

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Techniques for training and analyzing a machine learning model

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Machine learning method, machine learning system, and program

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Leveraging Machine Learning Models to Identify Missing or Incorrect Labels in Training or Testing Data

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

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Utilizing elastic weight consolidation (ewc) loss term(s) to mitigate catastrophic forgetting in federated learning of machine learning model(s)

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Utilizing elastic weight consolidation (ewc) loss term(s) to mitigate catastrophic forgetting in federated learning of machine learning model(s)

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Compression of Machine-Learned Models via Entropy Penalized Weight Reparameterization

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Augmenting machine learning models to incorporate incomplete datasets

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Machine-learning techniques for predicting actions and behavior

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Hybrid user contributed rules and machine learning framework

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Environment-specific training of machine learning models

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Environment-specific training of machine learning models

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Electronic system for developing a machine learning model

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Composing a machine learning model for complex data sources

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Generating synthetic images and/or training machine learning model(s) based on the synthetic images

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Futureproofing a machine learning model

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Systems and methods for on-device training machine learning models

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Physics compliance indicator (pci) for machine learning

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Time-based ensemble machine learning model

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Time-based ensemble machine learning model

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Tailoring a multi-channel help desk environment based on machine learning models

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Machine learning model remote management in advanced communication networks

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Anonymous training of a learning model

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Protection of a machine-learning model

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General machine learning model, and model file generation and parsing method

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General machine learning model, and model file generation and parsing method

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General machine learning model, and model file generation and parsing method

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General machine learning model, and model file generation and parsing method

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General machine learning model, and model file generation and parsing method

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General machine learning model, and model file generation and parsing method

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General machine learning model, and model file generation and parsing method

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

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Method and system for building a machine learning model

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Methods and apparatuses for generating one or more answers relating to functioning of a machine learning model

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Learning Parameter Sampling Configuration for Automated Machine Learning

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

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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 compression and distribution of machine learning models

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Continuous machine learning system for containerized environment with limited resources

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Techniques for training and analyzing a machine learning model

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Transfer learning with machine learning systems

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Upgrading a machine learning model's training state

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Methods and systems for fuel design using machine learning

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System, method, and computer readable medium configured to use machine learning models to determine optimal synthetic routes

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Systems and methods for mitigation bias in machine learning model output

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Object association using machine learning models

Номер патента: US11766783B2. Автор: Michael Quinlan,Guy Satat,Sean Kirmani. Владелец: Google LLC. Дата публикации: 2023-09-26.

Machine learned vector modelling for recommendation generation

Номер патента: US20180150784A1. Автор: Jian Wang,Krishnaram Kenthapadi,David Hardtke. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2018-05-31.

Real-time monitoring of machine learning models in service orchestration plane

Номер патента: US11736336B2. Автор: Gandhi Sivakumar,Sarvesh S. Patel,Kushal S. Patel,Luke Peter Macura. Владелец: International Business Machines Corp. Дата публикации: 2023-08-22.

Training reinforcement machine learning systems with a sub-goal based shaped reward function

Номер патента: WO2021221801A1. Автор: Xuan Zhao,Eric Philip TRAUT,Marcos de Moura CAMPOS,Ross Ian STORY,Victor SHNAYDER. Владелец: Microsoft Technology Licensing, LLC. Дата публикации: 2021-11-04.

Machine learning modeling to predict heuristic parameters for radiation therapy treatment planning

Номер патента: WO2023043663A1. Автор: Esa KUUSELA,Mikko Hakala,Elena CZEIZLER,Shahab BASIRI. Владелец: Varian Medical Systems, Inc.. Дата публикации: 2023-03-23.

Apparatuses and methods for sharing trained machine learning models

Номер патента: EP4239522A1. Автор: Stephen MWANJE,Sivaramakrishnan Swaminathan,Rakshesh PRAVINCHANDRA BHATT. Владелец: NOKIA TECHNOLOGIES OY. Дата публикации: 2023-09-06.

Training a machine learning algorithm using digitally reconstructed radiographs

Номер патента: EP4390766A2. Автор: Kim Le,Thomas Feilkas,Thomas Drexl,Yannic MEURER. Владелец: BRAINLAB AG. Дата публикации: 2024-06-26.

Method for securing a machine learning based decision system

Номер патента: US11574245B2. Автор: Frédéric Dao,Frederic Faure,Frédéric Paillart,Thomas Dandelot,Fabrice Delhoste. Владелец: THALES DIS FRANCE SAS. Дата публикации: 2023-02-07.

Obfuscating inference operations of a machine learning model

Номер патента: WO2024015062A1. Автор: Nahid Farhady Ghalaty,Matthew Royce MARKWELL. Владелец: Google LLC. Дата публикации: 2024-01-18.

Deep learning models for electric motor winding temperature estimation and control

Номер патента: EP4358393A1. Автор: Yujiang Wu,Jared Lervik,Lav Thyagarajan,Zhuoyan XU,Abram HAICH. Владелец: Deere and Co. Дата публикации: 2024-04-24.

Deep learning models for electric motor winding temperature estimation and control

Номер патента: US20240136969A1. Автор: Yujiang Wu,Jared Lervik,Lav Thyagarajan,Abram HAICH,Zhouyan XU. Владелец: Deere and Co. Дата публикации: 2024-04-25.

Deep learning models for electric motor winding temperature estimation and control

Номер патента: US20240235454A9. Автор: Yujiang Wu,Jared Lervik,Lav Thyagarajan,Abram HAICH,Zhouyan XU. Владелец: Deere and Co. Дата публикации: 2024-07-11.

Training a machine learning algorithm using digitally reconstructed radiographs

Номер патента: US12080021B2. Автор: Kim Le,Thomas Feilkas,Thomas Drexl,Yannic MEURER. Владелец: BRAINLAB AG. Дата публикации: 2024-09-03.

Training a machine learning algorithm using digitally reconstructed radiographs

Номер патента: EP4390766A3. Автор: Kim Le,Thomas Feilkas,Thomas Drexl,Yannic MEURER. Владелец: BRAINLAB AG. Дата публикации: 2024-09-11.

Apparatus, Methods and Computer Programs for Training Machine Learning Models

Номер патента: US20240298133A1. Автор: Mikko Johannes Honkala,Juha Tapio VILKAMO. Владелец: NOKIA TECHNOLOGIES OY. Дата публикации: 2024-09-05.

Generating training data for machine learning based models for autonomous vehicles

Номер патента: US12097878B2. Автор: Elon Gaffin-Cahn. Владелец: Perceptive Automata Inc. Дата публикации: 2024-09-24.

Machine learning systems for automated database element processing and prediction output generation

Номер патента: US12125067B1. Автор: David J. Fogarty,Robert E. Chudzik,Yogendra D. Bhosrekar,Stephanie C. Swain,Man Tat Lam,Man Hin Wong,Margaret A. Shaw,Yee Wah Eva Lee,Sourav Maharana. Владелец: Cigna Intellectual Property Inc. Дата публикации: 2024-10-22.

Apparatuses and methods for machine learning model reliability assessment

Номер патента: WO2024199858A1. Автор: Hans Thomas HÖHNE,Jian Song,Afef Feki,Ahmad Masri,Sakira HASSAN. Владелец: NOKIA TECHNOLOGIES OY. Дата публикации: 2024-10-03.

System and method for efficient analyzing and comparing slice-based machine learn models

Номер патента: US20240135160A1. Автор: LIU Ren,Xiaoyu Zhang,Liang Gou,Jorge Henrique Piazentin Ono. Владелец: ROBERT BOSCH GMBH. Дата публикации: 2024-04-25.

A method for computing and merging staticand dynamic metricsof a computer program, a method for training a machine learning model based on hybrid metrics, a machine learning model, and a method for using the machine learning model

Номер патента: WO2024057046A1. Автор: Rudolf Ferenc,Péter HEGEDŰS,Levente WOLF,Krisztián NAHIMI SELIM. Владелец: SZEGEDI TUDOMÁNYEGYETEM. Дата публикации: 2024-03-21.

Edge deployment of cloud-originated machine learning and artificial intelligence workloads

Номер патента: US12033006B1. Автор: Pradeep Nair,Janardhan Prabhakara,Pragyana K Mishra,Anish Swaminathan. Владелец: Armada Systems Inc. Дата публикации: 2024-07-09.

System and method for automated detection of clinical outcome measures

Номер патента: EP3991181A1. Автор: Matjaz Jakopec,Oliver ARMITAGE,Emil HEWAGE,Tristan EDWARDS,Susannah LEE,Lorenz WERNISCH,Bret Patterson,Catherine HANLEY. Владелец: Bios Health Ltd. Дата публикации: 2022-05-04.

Detection of adversarial example input to machine learning models

Номер патента: US20240104349A1. Автор: Zhen Jia,Kenneth Durazzo,Jinpeng LIU,Zijia Wang. Владелец: Dell Products LP. Дата публикации: 2024-03-28.

Systems and methods for interacting with a multimodal machine learning model

Номер патента: US12039431B1. Автор: Noah Deutsch,Nicholas Turley,Benjamin Zweig. Владелец: OpenAI Opco LLC. Дата публикации: 2024-07-16.

A computer-implemented method for generating local explanations and error estimates in machine learning models, as well as a decision support system and computer program implementing said method

Номер патента: EP4238005A1. Автор: Luca GILLI. Владелец: Clearbox Ai Solutions Srl. Дата публикации: 2023-09-06.

Multi-Modal Machine-Learning Model Training for Search

Номер патента: US20230267158A1. Автор: Moumita Sinha,Matvey Kapilevich,Anup Bandigadi Rao,Charles Menguy,Margarita R. Savova,Tung Thanh Mai,Lakshmi Shivalingaiah,Liron Goren Snai,Vijeth Lomada,Harleen Sahni. Владелец: Adobe Inc. Дата публикации: 2023-08-24.

Selective inference generation with distributed machine-learned models

Номер патента: WO2020204938A1. Автор: Ivan Poupyrev,Gerard Pallipuram,Nicholas GILLIAN. Владелец: Google LLC. Дата публикации: 2020-10-08.

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

Номер патента: US11762753B2. Автор: Brian Scott Bradke,Bradford R. EVERMAN. Владелец: Gmeci LLC. Дата публикации: 2023-09-19.

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

Номер патента: US12062227B2. Автор: Quoc V. Le,Mingxing Tan. Владелец: Google LLC. Дата публикации: 2024-08-13.

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

Номер патента: US20220245928A1. Автор: Quoc V. Le,Mingxing Tan. Владелец: Google LLC. Дата публикации: 2022-08-04.

Method of producing storage medium storing machine learning model and storage medium storing computer-readable instructions for performing anomaly detection in object with machine learning model

Номер патента: US20240282085A1. Автор: Masaki Kondo. Владелец: Brother Industries Ltd. Дата публикации: 2024-08-22.

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

Номер патента: US20230017808A1. Автор: Quoc V. Le,Mingxing Tan. Владелец: Google LLC. Дата публикации: 2023-01-19.

Systems and methods for controlling magnetic microdevices with machine learning

Номер патента: US20240225764A1. Автор: Michael R. Behrens,Warren RUDER. Владелец: University of Pittsburgh. Дата публикации: 2024-07-11.

Machine learning model configuration in wireless networks

Номер патента: US12089291B2. Автор: RAJEEV Kumar,Rajat Prakash,Gavin Bernard Horn,Aziz Gholmieh,Xipeng Zhu,Taesang Yoo,Shankar Krishnan,Eren Balevi. Владелец: Qualcomm Inc. Дата публикации: 2024-09-10.

Failure prediction in a computing system based on machine learning applied to alert data

Номер патента: AU2022433637A1. Автор: Baskar Jayaraman,Dinesh Kumar Kishorkumar Surapaneni,Matthew Lawrence Watkins. Владелец: ServiceNow Inc. Дата публикации: 2024-06-27.

Distributed training of a machine learning model used to detect network attacks

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Integrated Development Environments for Generating Machine Learning Models

Номер патента: US20240311100A1. Автор: Michael Terry,Aaron Donsbach,Andy Coenen,Ludovic Peran. Владелец: Google LLC. Дата публикации: 2024-09-19.

Machine learning-based generation of 3d dose distributions for volumes not included in a training corpus

Номер патента: EP4408523A1. Автор: Jarkko Peltola,Hannu Laaksonen,Esa KUUSELA,Mikko Hakala,Elena CZEIZLER,Shahab BASIRI,Christopher Boylan,Ville PIETILA,María CORDERO MARCOS. Владелец: Siemens Healthineers International AG. Дата публикации: 2024-08-07.

Failure prediction in a computing system based on machine learning applied to alert data

Номер патента: WO2023136952A9. Автор: Baskar Jayaraman,Dinesh Kumar Kishorkumar Surapaneni,Matthew Lawrence Watkins. Владелец: ServiceNow, Inc.. Дата публикации: 2024-07-11.

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

Номер патента: US20240355101A1. Автор: Quoc V. Le,Mingxing Tan. Владелец: Google LLC. Дата публикации: 2024-10-24.

Integrated development environments for generating machine learning models

Номер патента: WO2024192179A1. Автор: Michael Terry,Aaron Donsbach,Andy Coenen,Ludovic Peran. Владелец: Google LLC. Дата публикации: 2024-09-19.

Machine-learning based gesture recognition using multiple sensors

Номер патента: US12118443B2. Автор: Charles MAALOUF,Christopher B. Fleizach,Behrooz Shahsavari,Hojjat Seyed Mousavi,Michael J. Beyhs,Shawn R. Scully,Tu K. NGUYEN,Lilian H. LIANG,Warren J. SETO,Julian QUINTANA. Владелец: Apple Inc. Дата публикации: 2024-10-15.

Graphics processing chip with machine-learning based shader

Номер патента: EP3874464A2. Автор: Anton S. Kaplanyan,Christoph Herman SCHIED. Владелец: Facebook Technologies LLC. Дата публикации: 2021-09-08.

Machine learning system for routing payment requests to different customer accounts

Номер патента: US11829985B1. Автор: Michael Dücker,Tilo Sloboda,Taylor Lentz. Владелец: Chime Financial Inc. Дата публикации: 2023-11-28.

Natural language processing techniques using hybrid reason code prediction machine learning frameworks

Номер патента: US20230351109A1. Автор: Matthew J. Stewart,Suman Roy,Thomas G. Sullivan,Vijay Varma Malladi,Abraham G. Tesfay,Gaurav Ranjan. Владелец: Optum Inc. Дата публикации: 2023-11-02.

Graphics processing chip with machine-learning based shader

Номер патента: WO2020172043A2. Автор: Anton S. Kaplanyan,Christoph Herman SCHIED. Владелец: Facebook Technologies, LLC. Дата публикации: 2020-08-27.

Systems and methods for using machine learning to generate precision predictions of readiness

Номер патента: US20210241137A1. Автор: Praduman Jain,Dave Klein,Josh Schilling. Владелец: Vignet Inc. Дата публикации: 2021-08-05.

Fuzz testing of machine learning models to detect malicious activity on a computer

Номер патента: US20230319099A1. Автор: Craig PARADIS,Mehdi Karimibiuki. Владелец: Sophos Ltd. Дата публикации: 2023-10-05.

Distributed machine learning model configurations

Номер патента: WO2023184312A1. Автор: RAJEEV Kumar,Juan Zhang,Xipeng Zhu,Shankar Krishnan. Владелец: QUALCOMM INCORPORATED. Дата публикации: 2023-10-05.

Machine Learning Model Distribution

Номер патента: US20240097993A1. Автор: Muhammad Majid BUTT,Janne ALI-TOLPPA,Stefano PARIS,Qiyang ZHAO. Владелец: NOKIA TECHNOLOGIES OY. Дата публикации: 2024-03-21.

Real-time convergence analysis of machine learning population output in rapid changing and adversarial environments

Номер патента: US20200372403A1. Автор: Eren Kursun,Hylton N. van Zyl. Владелец: Bank of America Corp. Дата публикации: 2020-11-26.

Apparatus and method for performing color conversions using machine learning

Номер патента: US11336801B2. Автор: Satoru Ono,Jin Hasegawa. Владелец: Seiko Epson Corp. Дата публикации: 2022-05-17.

Machine learning model distribution

Номер патента: EP4292256A1. Автор: Muhammad Majid BUTT,Janne ALI-TOLPPA,Stefano PARIS,Qiyang ZHAO. Владелец: NOKIA TECHNOLOGIES OY. Дата публикации: 2023-12-20.

Machine learning model distribution

Номер патента: WO2022171536A1. Автор: Muhammad Majid BUTT,Janne ALI-TOLPPA,Stefano PARIS,Qiyang ZHAO. Владелец: NOKIA TECHNOLOGIES OY. Дата публикации: 2022-08-18.

Explainable machine learning based on wavelet analysis

Номер патента: CA3240654A1. Автор: Jeffery Dugger. Владелец: Equifax Inc. Дата публикации: 2023-06-22.

Explainable machine learning based on wavelet analysis

Номер патента: AU2022414179A1. Автор: Jeffery Dugger. Владелец: Equifax Inc. Дата публикации: 2024-07-04.

System and method for automated detection of clinical outcome measures

Номер патента: CA3144315A1. Автор: Matjaz Jakopec,Oliver ARMITAGE,Emil HEWAGE,Tristan EDWARDS,Susannah LEE,Lorenz WERNISCH,Bret Patterson,Catherine HANLEY. Владелец: Bios Health Ltd. Дата публикации: 2020-12-30.

System and method for automated detection of clinical outcome measures

Номер патента: AU2020301632A1. Автор: Matjaz Jakopec,Oliver ARMITAGE,Emil HEWAGE,Tristan EDWARDS,Susannah LEE,Lorenz WERNISCH,Bret Patterson,Catherine HANLEY. Владелец: Bios Health Ltd. Дата публикации: 2022-02-10.

Controlling devices in operations areas based on environmental states detected using machine learning

Номер патента: US20230066765A1. Автор: Grant Thomas,Stephen C. Tatton. Владелец: JBT AeroTech Corp. Дата публикации: 2023-03-02.

Machine learning framework for wireless local area networks (wlans)

Номер патента: WO2024039482A1. Автор: George Cherian,Sai Yiu Duncan Ho,Yanjun SUN,Abhishek Pramod PATIL,Alfred ASTERJADHI,Abdel Karim AJAMI,Gaurang NAIK. Владелец: QUALCOMM INCORPORATED. Дата публикации: 2024-02-22.

Automated concept drift detection in live machine learning systems for machine learning model updating

Номер патента: US20240005199A1. Автор: Danny BUTVINIK,Yoav Avneon,Elina MALIARSKY. Владелец: Actimize Ltd. Дата публикации: 2024-01-04.

Network system modeling using nested models combining machine learning and behavioral approaches

Номер патента: US20220261686A1. Автор: Thomas Triplet,Michael Y. Frankel. Владелец: Ciena Corp. Дата публикации: 2022-08-18.

Edge devices and gateways with machine learning for detecting anomalies in building equipment vibration data

Номер патента: US12050442B2. Автор: John M. Sullivan,Kelsey C. Schuster,Christopher J. Verink,Matthias Walczyk,Andrew S. Pike. Владелец: Tyco Fire and Security GmbH. Дата публикации: 2024-07-30.

Systems and methods for using machine learning techniques to predict item group composition

Номер патента: US20240220822A1. Автор: Stephane Wyper,Benjamin Wellmann,Luke JURAT,Edward S. Barker. Владелец: Fidelity Information Services LLC. Дата публикации: 2024-07-04.

Learning model generating device, inferring device, and aeration amount control device

Номер патента: CA3179569A1. Автор: Hiroyuki Kobayashi,Nobukazu Suzuki. Владелец: Individual. Дата публикации: 2021-12-09.

Controlling devices in operations areas based on environmental states detected using machine learning

Номер патента: WO2023028556A1. Автор: Grant Thomas,Stephen C. Tatton. Владелец: JBT AeroTech Corporation. Дата публикации: 2023-03-02.

Controlling devices in operations areas based on environmental states detected using machine learning

Номер патента: EP4392945A1. Автор: Grant Thomas,Stephen C. Tatton. Владелец: JBT AeroTech Corp. Дата публикации: 2024-07-03.

Ensemble Machine Learning Model Architecture for Lesion Detection

Номер патента: US20220138932A1. Автор: Paul Dufort,Giovanni John Jacques Palma,Omid Bonakdar Sakhi,Pedro Luis Esquinas Fernandez. Владелец: International Business Machines Corp. Дата публикации: 2022-05-05.

Systems and methods for using machine learning techniques to predict item group composition

Номер патента: WO2024144913A1. Автор: Stephane Wyper,Benjamin Wellmann,Luke JURAT,Edward S. Barker. Владелец: Fidelity Information Services, Llc.. Дата публикации: 2024-07-04.

Computer architecture for identifying data clusters using unsupervised machine learning in a correlithm object processing system

Номер патента: US20200175320A1. Автор: Patrick N. Lawrence,Pankaj Panging. Владелец: Bank of America Corp. Дата публикации: 2020-06-04.

Quantization robust federated machine learning

Номер патента: WO2023147206A1. Автор: Markus Nagel,Kartik Gupta,Christos LOUIZOS,Matthias REISSER,Marios FOURNARAKIS. Владелец: QUALCOMM INCORPORATED. Дата публикации: 2023-08-03.

System and method for automated detection of clinical outcome measures

Номер патента: US20220254492A1. Автор: Matjaz Jakopec,Oliver ARMITAGE,Emil HEWAGE,Tristan EDWARDS,Susannah LEE,Lorenz WERNISCH,Bret Patterson,Catherine HANLEY. Владелец: Bios Health Ltd.. Дата публикации: 2022-08-11.

Edge devices and gateways with machine learning for detecting anomalies in building equipment vibration data

Номер патента: US20220244682A1. Автор: John M. Sullivan,Kelsey C. Schuster,Christopher J. Verink,Matthias Walczyk,Andrew S. Pike. Владелец: Johnson Controls Tyco IP Holdings LLP. Дата публикации: 2022-08-04.

Machine learning models based methods and systems for determining prospective acquisitions between business entities

Номер патента: US12099955B2. Автор: Karamjit Singh,Tanmoy Bhowmik,Ajay Panwar,Aniruddha Mitra,Samarth GOEL,Kamal KANT. Владелец: Mastercard International Inc. Дата публикации: 2024-09-24.

Generating private synthetic training data for training machine-learning models

Номер патента: EP4427160A1. Автор: Girish Kumar,Christopher Lawrence Laterza,David Benjamin LEVITAN. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2024-09-11.

Generating private synthetic training data for training machine-learning models

Номер патента: US12105837B2. Автор: Girish Kumar,Christopher Lawrence Laterza,David Benjamin LEVITAN. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2024-10-01.

Method and system to generate machine learning model for evaluating quality of data

Номер патента: US11537944B2. Автор: Leon Stenneth,Alex Averbuch,Amarnath NAYAK. Владелец: Here Global BV. Дата публикации: 2022-12-27.

Machine learning-based detection of potentially malicious behavior on an e-commerce platform

Номер патента: US20230385837A1. Автор: Tanuj Arcot Omkar,Rodrigo de Souza Scorsatto,Rodrigo da Rosa Righi,Lucas Micol Policarpo,Vinicius Facco Rodrigues,Jorge Luis Victória Barbosa,Rodolfo Stoffel Antunes,Cristiano André da Costa. Владелец: Dell Products LP. Дата публикации: 2023-11-30.

Machine learning model training

Номер патента: US11783175B2. Автор: Jurij Leskovec,Kaifeng Chen,Rex Ying,Chantat Eksombatchai,Ruining He. Владелец: Pinterest Inc. Дата публикации: 2023-10-10.

Targeted Energy Usage Device Presence Detection Using Multiple Trained Machine Learning Models

Номер патента: US20240054322A1. Автор: Jessica Lin,Dmytro IELKIN,Andrii ZAGORUIKO,Serhii DEREVIANKO,Anastasiia PIRUS,Oleksandr ANNENKOV,Serhii KRAVCHENKO,Saak AKOPOV,Oleksandr BIELOV. Владелец: Oracle International Corp. Дата публикации: 2024-02-15.

Machine learning method, consumable management apparatus, and computer readable medium

Номер патента: US11822324B2. Автор: Osamu Wakabayashi,Satoru Kikuchi,Yuji Minegishi,Kunihiko ABE. Владелец: GIGAPHOTON INC. Дата публикации: 2023-11-21.

Machine-learning predictive models for classifying responses to and outcomes of end-user communications

Номер патента: US20230376970A1. Автор: Stacy R. Henryson,Nikhil Jog,Brian Karp. Владелец: Wells Fargo Bank NA. Дата публикации: 2023-11-23.

Methods and systems for dealiasing radar range rate measurements using machine learning

Номер патента: WO2024049461A9. Автор: Xiufeng Song,Fnu RATNESH KUMAR,Minhan LI. Владелец: FORD GLOBAL TECHNOLOGIES, LLC. Дата публикации: 2024-05-16.

Methods and systems for dealiasing radar range rate measurements using machine learning

Номер патента: WO2024049461A2. Автор: Xiufeng Song,Fnu RATNESH KUMAR,Minhan LI. Владелец: FORD GLOBAL TECHNOLOGIES, LLC. Дата публикации: 2024-03-07.

Systems and methods for utilizing machine learning to minimize a potential of damage to fiber optic cables

Номер патента: US20240133735A1. Автор: Ting Wang,Tiejun J. XIA,Glenn A. Wellbrock,Ming-Fang Huang,Yoshiaki Aono. Владелец: NEC Laboratories America Inc. Дата публикации: 2024-04-25.

Systems and methods for utilizing machine learning to minimize a potential of damage to fiber optic cables

Номер патента: US11874160B2. Автор: Ting Wang,Tiejun J. XIA,Glenn A. Wellbrock,Ming-Fang Huang,Yoshiaki Aono. Владелец: NEC Laboratories America Inc. Дата публикации: 2024-01-16.

Machine learning-based detection of potentially malicious behavior on an e-commerce platform

Номер патента: US11995658B2. Автор: Tanuj Arcot Omkar,Rodrigo de Souza Scorsatto,Rodrigo da Rosa Righi,Lucas Micol Policarpo,Vinicius Facco Rodrigues,Jorge Luis Victória Barbosa,Rodolfo Stoffel Antunes,Cristiano André da Costa. Владелец: Dell Products LP. Дата публикации: 2024-05-28.

Merchant incremental electronic impact value prediction and ranking using multiple machine learning models

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Targeted energy usage device presence detection using multiple trained machine learning models

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Sales orchestration using iterative machine learning

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Machine-learned tillage shank malfunction in an autonomous farming vehicle

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Protecting information regarding machine learning models

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Machine learning model based embedding for adaptable content evaluation

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Machine learning models for automated processing of transcription database entries

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Systems and methods for using machine learning algorithms to forecast promotional demand of products

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Authenticating Usage Data For Processing By Machine Learning Models

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Secure modular machine learning platform

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Systems and methods for image generation with machine learning models

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Machine learning model fingerprinting

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Privacy preserving sensor including a machine-learned object detection model

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Building and executing machine learning models via a no-code toolkit

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Machine Learning Model-Based Image Noise Synthesis

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Systems and methods for managing a machine learning distributed cache

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Machine-learned model system

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Solving routing problems using machine learning

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Machine learning-based determination of target database size for database migration operations

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Method and system for training a machine learning model for abnormal behavior recognition

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Time based frame generation via a temporally aware machine learning model

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Generation of high resolution medical images using a machine learning model

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Time based frame generation via a temporally aware machine learning model

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Image scoring apparatus, image scoring method and method of machine learning

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System, microscope system, methods and computer programs for training or using a machine-learning model

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System, microscope system, methods and computer programs for training or using a machine-learning model

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Systems and methods for estimating robustness of a machine learning model

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Machine learning device

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Hypertuning a machine learning model microservices configuration to optimize latency

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Method and system for intelligent bid price selection for profit accumulation using multiple software agents and machine learning model

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Systems and methods for estimating robustness of a machine learning model

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Machine learning-based hotspot prediction in electronic design automation (eda) applications

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Analysis device and method for detecting variable vulnerability in software using machine learning model

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Software Call Translations for On-Device Machine Learning Execution

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Optimizing Generative Machine-Learned Models for Subject-Driven Text-to-3D Generation

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Optimizing generative machine-learned models for subject-driven text-to-3d generation

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Determining machine learning model anomalies and impact on business output data

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Aggregating data ingested from disparate sources for processing using machine learning models

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System and method for a machine learning service

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Aggregating data ingested from disparate sources for processing using machine learning models

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Camera-enabled machine learning for device control in a kitchen environment

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Bias reducing machine learning correction engine for a machine learning system

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Systems and methods for labeling images for training machine learning model

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Machine learning model for predicting wait times to receive orders at different locations

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System and method of operation for remotely operated vehicles leveraging synthetic data to train machine learning models

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Generating synthetic data based on time series predictions and plural machine learning models

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Blockchain hosted machine learning

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Using machine learning and/or neural networks to validate stem cells and their derivatives for use in cell therapy, drug discovery, and diagnostics

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Machine learning models for electrical power simulations

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Machine learning models for detecting the causes of conditions of a satellite communication system

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Designing a fair machine learning model through user interaction

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Analysis device and method for detecting variable vulnerability in software using machine learning model

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Machine-Learning-Based Identification of Drawing Attributes

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Arrangement and method for training a machine learning model for state determination

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Machine learning models for asset optimization within industrial automation environments

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Methods and mechanisms for modifying machine-learning models for new semiconductor processing equipment

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Using machine learning to recognize variant objects

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Machine-learning based methods of probe microscopy

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Systems and methods for machine-learning based multi-lingual pronunciation generation

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Determining equipment constant updates by machine learning

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Hybrid parametric – machine learning battery aging model

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Workpiece storage device, method for assessing the loading state of a pick-up device and method for creating a machine learning model

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Full-band audio signal reconstruction enabled by output from a machine learning model

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Full-band audio signal reconstruction enabled by output from a machine learning model

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Geotechnical ground information prediction using machine learning

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Facilitating hydrocarbon exploration and extraction by applying a machine-learning model to seismic data

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Training dataset generation process for moment tensor machine learning inversion models

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Systems, methods, and apparatuses for predicting resource shortages using machine learning

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Machine learning monitoring of wireless network infrastructure application servers

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Multi-head machine learning model for processing multi-sensor data

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Systems and methods for machine learning enabled fault detection in rechargeable batteries

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Machine Learning-Based Multitenant Server Application Dependency Mapping System

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Adaptive Machine Learning For Dynamic Wireless Communication Configuration

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Machine learning-based multitenant server application dependency mapping system

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Centralized machine learning model configurations

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Switching to another machine learning model

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Support for machine learning enabled analytics

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Techniques for machine learning scheme changing based at least in part on dynamic network changes

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Autonomous operation of user equipment with artificial intelligence/machine learning model capability

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Apparatus, method and computer program for managing a request for cognitive network functions and/or machine learning models

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Methods and systems for privacy preserving evaluation of machine learning models

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Machine learning model monitoring with autoencoder

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

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Machine learning based network anomaly detection system

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

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Autonomous Operation of User Equipment With Artificial Intelligence/Machine Learning Model Capability

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Make-before-break mobility of machine learning context

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Make-before-break mobility of machine learning context

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Machine Learning-Based Multitenant Server Application Dependency Mapping System

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Training Action Prediction Machine-Learning Models for Video Games with Healed Data

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Training Action Prediction Machine-Learning Models for Video Games with Healed Data

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