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Machine learning model for multi-camera multi-person tracking

Номер патента: US20240161313A1
Опубликовано: 16-05-2024
Автор(ы): Alexandru Niculescu-Mizil, Deep Patel, Iain Melvin, Seonghyeon MOON
Принадлежит: NEC Laboratories America Inc
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Combining rules-based knowledge engineering with machine learning prediction

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Combining rules-based knowledge engineering with machine learning prediction

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Combining rules-based knowledge engineering with machine learning prediction

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Transfer learning method for a machine learning system

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Machine learning model tracking platform

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Secure multi-user machine learning on a cloud data platform

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Generation and deployment of context-specific machine learning models

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Method and system for building a machine learning model

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Security, luggage tracking, and machine learning models

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

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Method and system for creating an ensemble of machine learning models to defend against adversarial examples

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Generating analytics prediction machine learning models using transfer learning for prior data

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A controller for selecting machine learning models from an ensemble of models and a method thereof

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

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Speech enhancement machine learning model for estimation of reverberation in a multi-task learning framework

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Assessing machine learning bias using model training metadata

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Machine learning research platform for automatically optimizing life sciences experiments

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

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Method for training a machine learning model for determining the coefficients of a partial differential equation of a known operator-defined family of partial differential equations

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AI modeling for video game coaching and matchmaking

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Machine learning models for adjusting communication parameters

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Machine learning models for electrical power simulations

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Method and a system for testing machine learning and deep learning models for robustness, and durability against adversarial bias and privacy attacks

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Machine learning models for adjusting communication parameters

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Machine learning models for electrical power simulations

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Systems and methods for machine learning model training and deployment

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Method and apparatus for training machine learning model for determining operation of medical tool control device

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

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Machine learning framework for detection of anomalies and insights for procurement system

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Machine learning models for adjusting communication parameters

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Machine learning models for adjusting communication parameters

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Composing a machine learning model for complex data sources

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Hierarchical tournament-based machine learning predictions

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System, method, and computer program product for time-based ensemble learning using supervised and unsupervised machine learning models

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Language model for abstractive summarization

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Detecting key items using large language machine-learned models

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System and method for machine learning for system deployments without performance regressions

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Method and system for training a machine learning model for point of gaze prediction

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System and method for machine learning for system deployments without performance regressions

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Systems and methods for machine learning model management

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Machine learning model validation and authentication

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Computations trained machine learning models for non-destructive evaluation of material and structural flaws

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Evolved machine learning models

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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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Training machine learning models for contrastive multi-format shape similarity and search

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Techniques for validating machine learning models

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Training machine learning models for contrastive multi-format shape similarity and search

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Shared network learning for machine learning enabled text classification

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User equipment, base station, and wireless communication methods based on machine learning/artificial intelligence

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Machine learning model for detecting out-of-distribution inputs

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Method for securing a machine learning based decision system

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Method for securing a machine learning based decision system

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Method, device and computer-readable medium for training machine learning model performing competency evaluation on plurality of competencies

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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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Framework for a machine learning model and/or machine learning application adaptation for a target in a communications network

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Automatically Building Efficient Machine Learning Model Training Environments

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

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

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

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Machine learned model for generating opinionated threat assessments of security vulnerabilities

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

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Measuring the generalization ability of a trained machine learning model with respect to given measurement data

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Method and system for training a machine learning model

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

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Machine learning model for calculating confidence scores associated with potential security vulnerabilities

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System, Method, and Computer Program Product for Time-Based Ensemble Learning Using Supervised and Unsupervised Machine Learning Models

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Updating machine learning model

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

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Method for securing a machine learning based decision system

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Automated data integration, reconciliation, and self healing using machine learning

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Machine-learned model system

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Value over replacement feature (VORF) based determination of feature importance in machine learning

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Value over replacement feature (vorf) based determination of feature importance in machine learning

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Automatic anomaly thresholding for machine learning

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Digital watermarking of machine learning models

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Machine learning models for patent valuation

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Multi-Task Machine-Learned Models for Object Intention Determination in Autonomous Driving

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Using machine learning and 3d projection to guide medical procedures

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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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Selection of Global Machine Learning Models for Collaborative Machine Learning in a Communication Network

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Automated problem detection for machine learning models

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Method and a system for detecting a respiratory event of a subject and a method for forming a model for detecting a respiratory event

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Digital watermarking of machine learning models

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Training and executing machine-learning models for building data conversion

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Machine learning model aggregation

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Technical injection system for injecting a retrained machine learning model

Номер патента: EP4220491A1. Автор: Joachim FRÖHLICH,Tudor Ionescu. Владелец: SIEMENS AG. Дата публикации: 2023-08-02.

Utilizing a machine learning model for predicting issues associated with a closing process of an entity

Номер патента: US12112388B2. Автор: Kaushik Dey,Chiranjit SEAL,Bula ROY,Atrayee CHATTERJEE,Punitha NITHYANANDAM. Владелец: Accenture Global Solutions Ltd. Дата публикации: 2024-10-08.

Integration of learning models into a software development system

Номер патента: EP3977263A1. Автор: Michael R. Siracusa,Anil KATTI,Mohammad Reza FARHADI,Aseem WADHWA,Michael Ryan BRENNAN,Andrew Joseph RACHWALSKI. Владелец: Apple Inc. Дата публикации: 2022-04-06.

Machine learning model fingerprinting

Номер патента: US11921903B1. Автор: Andrew Davis,David Beveridge. Владелец: Hiddenlayer Inc. Дата публикации: 2024-03-05.

Validation of a machine learning model

Номер патента: US20230236960A1. Автор: Xinyuan Huang,Ashutosh Arwind Malegaonkar,Patrick James Riel,Elvira Dzhuraeva. Владелец: Cisco Technology Inc. Дата публикации: 2023-07-27.

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

Номер патента: US20230385709A1. Автор: Gianpaolo Fasoli,Edouard Godfrey,KuangYu Wang. Владелец: Apple Inc. Дата публикации: 2023-11-30.

Methods, apparatus and machine-readable mediums relating to machine learning models

Номер патента: EP4292026A1. Автор: Konstantinos Vandikas,Selim ICKIN,Athanasios KARAPANTELAKIS,Marin ORLIC,Aneta VULGARAKIS FELJAN. Владелец: Telefonaktiebolaget LM Ericsson AB. Дата публикации: 2023-12-20.

Methods, apparatus and machine-readable mediums relating to machine learning models

Номер патента: WO2022171308A1. Автор: Konstantinos Vandikas,Selim ICKIN,Athanasios KARAPANTELAKIS,Marin ORLIC,Aneta VULGARAKIS FELJAN. Владелец: Telefonaktiebolaget lM Ericsson (publ). Дата публикации: 2022-08-18.

Software model testing for machine learning models

Номер патента: US20230036289A1. Автор: Nishant Shah,Maruthi Shanmugam,Karen Trevino,Smruti Soumya Mishra. Владелец: Bank of America Corp. Дата публикации: 2023-02-02.

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.

Debugging and profiling of machine learning model training

Номер патента: US12039415B2. Автор: Vikas Kumar,Vladimir ZHUKOV,Stefano Stefani,Andrea Olgiati,Jeffrey John GEEVARGHESE,Lakshmi Naarayanan Ramakrishnan,Denis Davydenko,Rahul Raghavendra Huilgol,Amol Ashok Lele. Владелец: Amazon Technologies Inc. Дата публикации: 2024-07-16.

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

Номер патента: US20240054390A1. Автор: Emmanouil Koukoumidis,Sandeep Tata,James Bradley Wendt,Lauro Ivo BELTRAO COLACO COSTA. Владелец: Google LLC. Дата публикации: 2024-02-15.

Learning method using machine learning to generate correct sentences, extraction method, and information processing apparatus

Номер патента: US11977975B2. Автор: Tomoya Iwakura. Владелец: Fujitsu Ltd. Дата публикации: 2024-05-07.

Instantiation of compressed machine learning models

Номер патента: WO2022028784A1. Автор: Gabor HANNAK. Владелец: NOKIA TECHNOLOGIES OY. Дата публикации: 2022-02-10.

Systems and methods for automatically building a machine learning model

Номер патента: US11934971B2. Автор: Aleksandr Kotolyan. Владелец: Digital Lion LLC. Дата публикации: 2024-03-19.

Value over replacement feature (vorf) based determination of feature importance in machine learning

Номер патента: EP4049198A1. Автор: Yehezkel Shraga RESHEFF,Talia Tron,Tzvi Itzhak BARNHOLTZ. Владелец: Intuit Inc. Дата публикации: 2022-08-31.

System and method for a model for prediction of sound perception using accelerometer data

Номер патента: US20240110825A1. Автор: Andreas Henke,Florian Lang,Michael Kuka,Matthias Huber,Martin Boschert,Thomas Alber,Carine Au,Filipe J. CABRITA CONDESSA,Felix Schorn,Ivan BATALOV,Dmitry Naumkin,Balázs LIPCSIK. Владелец: ROBERT BOSCH GMBH. Дата публикации: 2024-04-04.

Radar system using a machine-learned model for stationary object detection

Номер патента: EP4075159A1. Автор: Shan ZHANG,Narbik Manukian,Kanishka Tyagi,Yihang Zhang,John Kirkwood,Sanling Song. Владелец: Aptiv Technologies Ltd. Дата публикации: 2022-10-19.

Machine learning for simultaneously optimizing an under-sampling pattern and a corresponding reconstruction model in compressive sensing

Номер патента: US12032048B2. Автор: Mert R. Sabuncu,Cagla D Bahadir. Владелец: CORNELL UNIVERSITY. Дата публикации: 2024-07-09.

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.

Auto discovery protocol and virtual grouping of machine learning models

Номер патента: US20230063113A1. Автор: Gandhi Sivakumar,Craig M. Trim,Sarvesh S. Patel,Kushal S. Patel,Faried Abrahams. Владелец: International Business Machines Corp. Дата публикации: 2023-03-02.

Decision boundary enhancement for learning models

Номер патента: US20200387760A1. Автор: TONG Li,David Winston,Richard Daniel Kimmel,Pravin Kamdar. Владелец: International Business Machines Corp. Дата публикации: 2020-12-10.

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

Номер патента: US12061956B1. Автор: Sunil Mallya KASARAGOD,Yahor Pushkin,Sravan Babu Bodapati. Владелец: Amazon Technologies Inc. Дата публикации: 2024-08-13.

Machine learning model validation with verification data

Номер патента: US20230259754A1. Автор: Gavin Bernard Horn,Xipeng Zhu,Taesang Yoo. Владелец: Qualcomm Inc. Дата публикации: 2023-08-17.

Instantiation of compressed machine learning models

Номер патента: EP4193311A1. Автор: Gabor HANNAK. Владелец: NOKIA TECHNOLOGIES OY. Дата публикации: 2023-06-14.

Personalized machine learning on mobile computing devices

Номер патента: WO2023159072A1. Автор: Shan Xiang Wang,William San-Hsi Hwang. Владелец: THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY. Дата публикации: 2023-08-24.

System, Method, and Computer Program Product for Segmentation Using Knowledge Transfer Based Machine Learning Techniques

Номер патента: US20240296384A1. Автор: Sheng Wang,Pei Yang,Peng Wu,Yiwei CAI,Xi Kan. Владелец: VISA INTERNATIONAL SERVICE ASSOCIATION. Дата публикации: 2024-09-05.

Storage medium, machine learning method, and machine learning device

Номер патента: US20220215297A1. Автор: Kenichirou Narita. Владелец: Fujitsu Ltd. Дата публикации: 2022-07-07.

Automated metadata asset creation using machine learning models

Номер патента: US20210374187A1. Автор: Kyle Miller. Владелец: Rovi Guides Inc. Дата публикации: 2021-12-02.

Machine Learning Model Deployment in Inference System

Номер патента: US20240320543A1. Автор: Bo Song,Jun Wang,Xiao Ming Ma,Dong Hai Yu,Jiang Bo Kang,Yao Dong Liu. Владелец: International Business Machines Corp. Дата публикации: 2024-09-26.

Functionality based two-sided machine learning operations

Номер патента: WO2024167615A1. Автор: RAJEEV Kumar,Naga Bhushan,Srinivas YERRAMALLI,Taesang Yoo,Eren Balevi. Владелец: QUALCOMM INCORPORATED. Дата публикации: 2024-08-15.

Optimization for cascade machine learning models

Номер патента: US20240303466A1. Автор: Nitin Satyanarayan Sharma,Sanae Amani Geshnigani. Владелец: PayPal Inc. Дата публикации: 2024-09-12.

Methods and systems for training and providing a machine learning model for audio compensation

Номер патента: US12118472B2. Автор: Jesper Pedersen,Finnur Pind. Владелец: Treble Technologies. Дата публикации: 2024-10-15.

Combined wide and deep machine learning models for automated database element processing systems, methods and apparatuses

Номер патента: US12105765B2. Автор: HAO LU,Patrick Soon-Shiong,Bing Song,Phillip Yang,Jeffrey Michael Balbien. Владелец: Nantmedia Holdings LLC. Дата публикации: 2024-10-01.

Stateful training of machine learning models in wireless networking

Номер патента: GB2627937A. Автор: Song Jian,Feki Afef,Masri Ahmad,Zsolt Kovács István. Владелец: NOKIA TECHNOLOGIES OY. Дата публикации: 2024-09-11.

Machine-Learned Models for Multimodal Searching and Retrieval of Images

Номер патента: US20240370487A1. Автор: ZHEN Li,Yun-hsuan Sung,Balint MIKLOS,Chao JIA,Yinfei Yang,Severin HEINIGER. Владелец: Google LLC. Дата публикации: 2024-11-07.

Providing application programming interface endpoints for machine learning models

Номер патента: US12045678B2. Автор: David Lisuk,Simon Slowik. Владелец: Palantir Technologies Inc. Дата публикации: 2024-07-23.

Machine learning model generator

Номер патента: US20240193490A1. Автор: Marios Anapliotis,Hassan SAWAF,Fady El-Rukby. Владелец: Aixplain Inc. Дата публикации: 2024-06-13.

Confidential tuning of pre-trained machine learning models

Номер патента: WO2024112521A1. Автор: Andrea Olgiati,Rakesh Ramakrishnan,Ankur Mehrotra,Karthik Gurumoorthy Subramanya BHARATHY,Lakshmi Naarayanan Ramakrishnan. Владелец: Amazon Technologies, Inc.. Дата публикации: 2024-05-30.

Systems and methods for evaluating machine-learning models and predictions

Номер патента: US20240220778A1. Автор: Kenneth Wenger,Damian Brunt Fozard. Владелец: Squint Ai Inc. Дата публикации: 2024-07-04.

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.

Data sovereignty compliant machine learning

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

Accelerating the thermoplastics welding process using multi-source machine learning

Номер патента: US20240217016A1. Автор: LEI Xing,Wenping Zhao,Soumalya Sarkar,John Joseph Gangloff,Sudeepta MONDAL. Владелец: Raytheon Technologies Corp. Дата публикации: 2024-07-04.

Systems and methods for generating dynamic conversational responses using ensemble prediction based on a plurality of machine learning models

Номер патента: US20220094647A1. Автор: Rui Zhang,Erik Mueller,Minh Le. Владелец: Capital One Services LLC. Дата публикации: 2022-03-24.

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

Номер патента: US11769075B2. Автор: Abhishek Kumar,Javier Cruz Mota,Erwan Barry Tarik Zerhouni. Владелец: Cisco Technology Inc. Дата публикации: 2023-09-26.

Machine learning model for storage system

Номер патента: US20230039564A1. Автор: Andrew R. Bernat,Prakash Darji. Владелец: Pure Storage Inc. Дата публикации: 2023-02-09.

Machine learned model for contract generation in a document management system

Номер патента: US20240248934A1. Автор: Johan Hegardh. Владелец: Docusign Inc. Дата публикации: 2024-07-25.

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

Номер патента: US20230162088A1. Автор: Steve Woodward,Stefan Larson,Shaun Becker. Владелец: DryvIQ Inc. Дата публикации: 2023-05-25.

Machine learning model for storage system

Номер патента: US11775491B2. Автор: Andrew R. Bernat,Prakash Darji. Владелец: Pure Storage Inc. Дата публикации: 2023-10-03.

Machine learning method

Номер патента: US20210334701A1. Автор: Chia-Chun Wu,Chih-Yung Chang,Kuo-Chung Yu,Shih-Jung Wu,Li-Pang Lu. Владелец: Tamkang University. Дата публикации: 2021-10-28.

Determine handover parameters by machine learning

Номер патента: WO2022258196A1. Автор: Dan Wellington,Qi Liao,Anna Pantelidou,Ahmad Awada,Stephen MWANJE,Abdelrahman ABDELKADER. Владелец: NOKIA TECHNOLOGIES OY. Дата публикации: 2022-12-15.

Systems and methods for evaluating machine-learning models and predictions

Номер патента: WO2024145710A1. Автор: Kenneth Wenger,Damian Brunt Fozard. Владелец: Squint AI Inc.. Дата публикации: 2024-07-11.

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.

Machine learning platform

Номер патента: US12067463B2. Автор: Brian Mullins,Stephen Roberts,Rob Williams,Mike Osborne,Paul Reader,Nathan Korda,Stanley Speel. Владелец: Mind Foundry Ltd. Дата публикации: 2024-08-20.

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

Номер патента: US20220383150A1. Автор: Doo Soon Kim,Trung Bui,Tuan Manh Lai,Nham Van Le. Владелец: Adobe Inc. Дата публикации: 2022-12-01.

Systems and methods for automatically retraining machine learning models to remove systematic bias

Номер патента: US20240296371A1. Автор: Amit K. Bothra,Sandip Sonawane,Rahul Rajendran,Vijay Sai Kondamadugu. Владелец: Evernorth Strategic Development Inc. Дата публикации: 2024-09-05.

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.

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

Номер патента: US12079696B2. Автор: QIAN CHEN,Wei Wan,Longpo Liu. Владелец: Tencent Technology Shenzhen Co Ltd. Дата публикации: 2024-09-03.

Machine learned model for contract generation in a document management system

Номер патента: WO2024158594A1. Автор: Johan Hegardh. Владелец: DOCUSIGN, INC.. Дата публикации: 2024-08-02.

Method and system for optimizing training of a machine learning model

Номер патента: US20240119349A1. Автор: Madhusudan Singh,Mridul Balaraman,Ishita DAS,Sukant DEBNATH,Guneet Singh TANDON. Владелец: L&T Technology Services Ltd. Дата публикации: 2024-04-11.

Machine learning for computational patterning

Номер патента: US20230206112A1. Автор: CHENG Chi,Julian Timothy Dolby. Владелец: International Business Machines Corp. Дата публикации: 2023-06-29.

Computer-Implemented Data Structure, Method, Inspection Device, and System for Transferring a Machine Learning Model

Номер патента: US20240273415A1. Автор: Daniel SCHALL. Владелец: SIEMENS AG. Дата публикации: 2024-08-15.

Method and a system for generating a machine learning model for reducing a location error of readings of road signs sensed by connected vehicles

Номер патента: US20240265297A1. Автор: Itamar LANDSMAN. Владелец: Otonomo Technologies Ltd. Дата публикации: 2024-08-08.

Tiered evaluation metric for comprehensively evaluating machine learning models

Номер патента: US20240256957A1. Автор: PREMNATH KANDHASAMY NARAYANAN,Brian Carter,David S. Monaghan,Amirhossein YAZDAVAR,Triet PHAM. Владелец: Optum Services Ireland Ltd. Дата публикации: 2024-08-01.

Detecting device, detecting method, machine learning device, machine learning method, and machine learning model

Номер патента: US20230419081A1. Автор: Mitsuru Nakazawa,Takashi TOMOOKA. Владелец: Rakuten Group Inc. Дата публикации: 2023-12-28.

Mapping machine learning models to answer queries

Номер патента: US12086145B2. Автор: Rafael Rossi de Mello Brandao,Marcio Ferreira Moreno,Guilherme Augusto Ferreira Lima. Владелец: International Business Machines Corp. Дата публикации: 2024-09-10.

Method and system for optimizing training of a machine learning model

Номер патента: EP4360015A1. Автор: Madhusudan Singh,Mridul Balaraman,Ishita DAS,Sukant DEBNATH,Guneet Singh TANDON. Владелец: L & T Technology Services Ltd. Дата публикации: 2024-05-01.

Method and system for optimizing training of a machine learning model

Номер патента: WO2022269367A1. Автор: Mridul Balaraman,Dr. Madhusudan SINGH,Ishita DAS,Sukant DEBNATH,Guneet Singh TANDON. Владелец: L & T Technology Services Limited. Дата публикации: 2022-12-29.

Providing a secure and collaborative feedback mechanism for machine learning models

Номер патента: US20240311682A1. Автор: Luca COSTABELLO,Adrianna Janik. Владелец: Accenture Global Solutions Ltd. Дата публикации: 2024-09-19.

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

Номер патента: EP4356314A1. Автор: Michael LEBACHER,Johanna Bronner. Владелец: SIEMENS AG. Дата публикации: 2024-04-24.

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

Номер патента: WO2023012029A1. Автор: Michael LEBACHER,Johanna Bronner. Владелец: SIEMENS AKTIENGESELLSCHAFT. Дата публикации: 2023-02-09.

Systems and methods for generating dynamic conversational responses using ensemble prediction based on a plurality of machine learning models

Номер патента: US12120073B2. Автор: Rui Zhang,Erik Mueller,Minh Le. Владелец: Capital One Services LLC. Дата публикации: 2024-10-15.

Semi-supervised machine learning model framework for unlabeled learning

Номер патента: US20240346322A1. Автор: Mahesh Balan Umaithanu,Rohith Srinivaas Mohanakrishnan,Venkata Subramanian Selvaraj. Владелец: PayPal Inc. Дата публикации: 2024-10-17.

Model-tiering machine learning model

Номер патента: US20240346387A1. Автор: Ana Paula Appel,Paulo Rodrigo Cavalin,Paula Fernanda Pereira,Graziella Martins CAPUTO. Владелец: International Business Machines Corp. Дата публикации: 2024-10-17.

Generative machine learning models for genealogy

Номер патента: US20240346342A1. Автор: Gary Lee Mangum,Alexander Liss,Glen Brewer Lewis,Daniel Val Shelley,Prashanth Santhanam,Caity Selleck,Liam Molloy. Владелец: Ancestry com Inc. Дата публикации: 2024-10-17.

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

Номер патента: EP4455951A1. Автор: Jun Wu,Yunfeng Shao,Kaiyang GUO. Владелец: Huawei Technologies Co Ltd. Дата публикации: 2024-10-30.

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

Номер патента: US12106078B2. Автор: John Liu,Timothy ESTES,Brandon CARL,Cory HUGHES,Uday KAMATH. Владелец: Digital Reasoning Systems Inc. Дата публикации: 2024-10-01.

Machine-learning-based techniques for predictive monitoring of a software application framework

Номер патента: US12141051B2. Автор: Vipul Gupta,Akshar PRASAD. Владелец: Atlassian US Inc. Дата публикации: 2024-11-12.

Automatically generating inventory-related information forecasts using machine learning techniques

Номер патента: US12026664B2. Автор: Mario Alberto Cornejo Barriere,Babak Farmanesh. Владелец: Dell Products LP. Дата публикации: 2024-07-02.

System and method for machine learning modeling and estimation of loss

Номер патента: US20240161204A1. Автор: Brian Theodore Bien,Alexander Douglas Findlater. Владелец: Groundspeed Analytics Inc. Дата публикации: 2024-05-16.

System and method for training a machine learning model

Номер патента: EP3866072A1. Автор: Gareth Jones,James Hickey,Pietro Di Stefano,Laura Stoddart,Vlasios Vasileiou,Francisco Javier Campos ZABALA. Владелец: Experian Ltd. Дата публикации: 2021-08-18.

Machine learning-based quality control of a culture for bioproduction

Номер патента: US20240077863A1. Автор: Guglielmo MONTONE,Severin LIMAL. Владелец: Lynceus Sas. Дата публикации: 2024-03-07.

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

Номер патента: WO2024129262A1. Автор: Krishna Kumar Selvam,Radhika ANAND,Ajay Pankaj Sampat,Youdan Xu,Caleb Grisell,Bita Tadayon. Владелец: Maplebear Inc.. Дата публикации: 2024-06-20.

Machine learning model training method and machine learning model training device

Номер патента: US12026592B2. Автор: Chin-Pin Kuo,Tung-Tso Tsai,Tzu-Chen Lin,Guo-Chin Sun,Wan-Jhen Lee. Владелец: Hon Hai Precision Industry Co Ltd. Дата публикации: 2024-07-02.

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

Номер патента: US20240220910A1. Автор: Luke Hollenback,Brigid Mulligan. Владелец: NextWorld LLC. Дата публикации: 2024-07-04.

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

Номер патента: US20240086710A1. Автор: Kenichi Kobayashi,Hiroaki Kingetsu. Владелец: Fujitsu Ltd. Дата публикации: 2024-03-14.

Generating and deploying machine learning models packages

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Machine Learning Hyperparameter Tuning

Номер патента: US20220366318A1. Автор: Mingge Deng,Amir Hormati,Jiaxun Wu,Ye Zichaun. Владелец: Google LLC. Дата публикации: 2022-11-17.

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

Номер патента: WO2024148038A1. Автор: Chiranjeet Chetia,Yuhang Wu,Shubham Agrawal,Linyun He,Hongyi LIU,Mert KOSAN. Владелец: VISA INTERNATIONAL SERVICE ASSOCIATION. Дата публикации: 2024-07-11.

Machine learning-based quality control of a culture for bioproduction

Номер патента: US11815884B2. Автор: Guglielmo MONTONE,Severin LIMAL. Владелец: Lynceus Sas. Дата публикации: 2023-11-14.

Machine Learning Model Training Method and Device and Electronic Equipment

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Computer-based systems, computing components and computing objects configured to implement dynamic outlier bias reduction in machine learning models

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Generating synthetic datapoints from observed datapoints for training machine learning models

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Detecting out-of-distribution data sample in a machine learning operation

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Machine learning model compression using weighted low-rank factorization

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Generation of digital standards using machine-learning model

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Systems and methods for lightweight machine learning models

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Self contrastive decorrelation based training of machine learning models

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Unknown-class (out-of-distribution) data detection in machine learning models

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Text Classification via Term Mapping and Machine-learning Classification Model

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Training machine learning models using quantile and median ranking distillation

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Machine learning system for detecting anomalies in hunt data

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Machine learning model configuration in wireless networks

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Machine learning model for recommending interaction parties

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Monitoring of edge- deployed machine learning models

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Apparatus, Methods and Computer Programs for Training Machine Learning Models

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Machine learning model training using an analog processor

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New features for black-box machine-learning models

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Learning parameter sampling configuration for automated machine learning

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Monitoring of edge-deployed machine learning models

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Explainable classifications with abstention using client agnostic machine learning models

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Systems and methods for generating synthetic tabular data for machine learning and other applications

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Executing unsupervised pre-training tasks with a machine learning model to predict document graph attributes

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Explainable classifications with abstention using client agnostic machine learning models

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Deployment of machine learned models to plurality of devices

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Transforming conversational training data for different machine learning models

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Data drift impact in a machine learning model

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Sampling content using machine learning to identify low-quality content

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Machine learning model remote management in advanced communication networks

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System for machine learning-based acceleration of a topology optimization process

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Systems and methods for diversity-enhanced adaptive experimentation in a machine learning-based formulation platform

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Biased based delegation in machine learning models

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Data drift impact in a machine learning model

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Digital object library management system for machine learning applications

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Implementing machine learning in a resource-constrained environment

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Federated parameter training for machine learning

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Machine learning model evaluation frameworks

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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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Responding to machine learning requests from multiple clients

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Environment-specific training of machine learning models

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Machine learning program, machine learning method, and information processing apparatus

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

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Classification Evaluation and Improvement in Machine Learning Models

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Machine learning optimization of control code in an industrial automation environments

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Dynamic language models for continuously evolving content

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Machine learning model remote management in advanced communication networks

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Protecting deep learned models

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Machine learning methods and apparatus for automated robotic placement of secured object in appropriate location

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Designing a fair machine learning model through user interaction

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Selective inference generation with distributed machine-learned models

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Account risk detection and account limitation generation using machine learning

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Systems and methods for compression and distribution of machine learning models

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Machine-learned models for electric vehicle component health monitoring

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Scanning and detecting threats in machine learning models

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Machine-learning techniques for predicting actions and behavior

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Machine-learning techniques for predicting actions and behavior

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Device-side federated machine learning computer system architecture

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Access control for on-device machine learning models

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Continuous Delivery in Cloud Platforms of Machine Learning Models with Human in the Loop

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Machine learning-based user sentiment prediction using audio and video sentiment analysis

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Updating machine learning models across devices

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Training machine learning models using quantile and median ranking distillation

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Enhanced precision machine learning prediction

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Machine learning system for generating recommended electronic actions

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Measuring the generalization ability of a trained machine learning model with respect to given measurement data

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Automated machine learning system

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Video-based analysis of stapling events during a surgical procedure using machine learning

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Systems and methods for quantized machine learning, federated learning and bidirectional network communication

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Explainable classifications with abstention using client agnostic machine learning models

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System for intelligent assessment models for non-fungible electronic resources

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Explainable classifications with abstention using client agnostic machine learning models

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Executing unsupervised pre-training tasks with a machine learning model to predict document graph attributes

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

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Identifying a classification hierarchy using a trained machine learning pipeline

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Training of machine learning models with hardware-in-the-loop simulations

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Root cause analysis for deterministic machine learning model

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Transfer learning model for newly setup environment

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Machine learning systems and methods for document recognition and analytics

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Reinforced federated learning utilizing multiple specialized machine learning agents

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Explanatory dropout for machine learning models

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Machine learning model creation

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Implementing machine learning in a resource-constrained environment

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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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Modularized and correlation-based configuration process framework for machine learning models

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Learning from biological systems how to regularize machine-learning

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Learning from biological systems how to regularize machine-learning

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Machine learning methods and systems for variety profile index crop characterization

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