Machine learning for adaptive bitrate selection.

Machine learning for adaptive bitrate selection

Номер патента: US20230421831A1
Опубликовано: 28-12-2023
Автор(ы): Amit Paliwal, Andrey Marsavin, Beth Teresa Logan, Govind Vaidya, Tapan OZA, Vijay Anand RAGHAVAN, Wim Michiels, Zheng Han
Принадлежит: Roku Inc
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Рисунок 1. Взаимосвязь патентов (ближайшие 20).

Machine learning for adaptive bitrate selection

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Systems and methods for performing adaptive bitrate streaming based upon stream delay and "channel rate

Номер патента: WO2012094258A1. Автор: Auke Sjoerd van der Schaar,Som NADERI. Владелец: DIVX, LLC. Дата публикации: 2012-07-12.

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Federated machine learning in adaptive training systems

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System and method of forming training set for machine learning algorithm

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Two-vane pump and design method of two-vane pump for wastewater using machine learning

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

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Method And Device For Drug Combination Design By High-Throughput Platform And Machine Learning For Optimizing

Номер патента: US20240028916A1. Автор: Dawei Zhang,Jingzhi YANG,Lingwei MA,Xiangping HAO,Hongchang QIAN. Владелец: University of Science and Technology Beijing USTB. Дата публикации: 2024-01-25.

Automated machine learning method and apparatus therefor

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

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

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

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

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Shared network learning for machine learning enabled text classification

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

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Fermionic tensor machine learning for quantum chemistry

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Development pipeline integrated ongoing learning for assisted code remediation

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Development pipeline integrated ongoing learning for assisted code remediation

Номер патента: EP4237939A1. Автор: Hao Xiao,Darius Tsien Wei Foo,Asankhaya Sharma,Hendy Heng Lee Chua. Владелец: Veracode Inc. Дата публикации: 2023-09-06.

Methods and systems for using reinforcement learning for promotions

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Machine learning for early detection of cellular morphological changes

Номер патента: EP4272155A1. Автор: Christian Lang,Ilya GOLDBERG,Dmitry Fedorov,Kristian Kvilekval,Katherine Yeung,Henry DODKINS. Владелец: Viqi Inc. Дата публикации: 2023-11-08.

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

Номер патента: US20210303547A1. Автор: Markus Goeppert,Daniel Zimmermann,Apoorv Bhargava,Syed Aleemuddin Noor,Gowthami Agumamidi. Владелец: SAP SE. Дата публикации: 2021-09-30.

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

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Meta-learning for automated health scoring

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

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

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System and method for use of machine learning for trauma team activation

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Deep learning for modeling disease progression

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Active learning for graph neural network based semantic schema alignment

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Deep learning for modeling disease progression

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Deep learning for modeling disease progression

Номер патента: WO2023087006A1. Автор: Somaye Sadat HASHEMIFAR,Seyed Mohammadmohsen HEJRATI,Claudia Iriondo. Владелец: Genentech, Inc.. Дата публикации: 2023-05-19.

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

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

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Combining multiple QEEG features to estimate drug-independent sedation level using machine learning

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Dual-domain self-supervised learning for accelerated non-cartesian magnetic resonance imaging reconstruction

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Configurable machine learning systems through graphical user interfaces

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Fit-for-basin continuous machine learning for well integrity

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Dual-domain self-supervised learning for accelerated non-cartesian magnetic resonance imaging reconstruction

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Computer-based systems including machine learning models trained on distinct dataset types and methods of use thereof

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Machine learning for generative geometric modelling

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Fit-for-basin continuous machine learning for well integrity

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Systems and methods for using machine learning as a segmentation tool

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Computer-based systems including machine learning models trained on distinct dataset types and methods of use thereof

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Machine learning for generative geometric modelling

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Multimodal self-supervised learning for image analysis

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Decentralized learning of machine learning model(s) through utilization of stale updates(s) received from straggler computing device(s)

Номер патента: EP4364049A1. Автор: Andrew Hard,Rajiv Mathews,Rohan ANIL,Ehsan Amid,Sean Augenstein,Lara Mcconnaughey,Antonious Girgis. Владелец: Google LLC. Дата публикации: 2024-05-08.

Neural adapter for classical machine learning (ml) models

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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.

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

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System, method, and computer program product for adaptive feature optimization during unsupervised training of classification models

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System, Method, and Computer Program Product for Adaptive Feature Optimization During Unsupervised Training of Classification Models

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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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Online machine learning for autonomous earth moving vehicle control

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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.

Systems and methods for machine learning model training and deployment

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

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Machine learning to adapt extraction to different documents

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System for splicing and formatting code via machine learning

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Trust related management of artificial intelligence or machine learning pipelines in relation to adversarial robustness

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Interpretable machine learning for data at scale

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Learning coach for machine learning system

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Learning coach for machine learning system

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Learning coach for machine learning system

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Federated learning for media content recommendation

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Machine learning for insurance applications

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Machine learning for vehicle allocation

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Machine learning for splice improvement

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Method and system for training a machine learning model

Номер патента: EP4134879A1. Автор: Marcel Hildebrandt,Serghei Mogoreanu,Mitchell Joblin,Martin Ringsquandl,Dianna YEE. Владелец: SIEMENS AG. Дата публикации: 2023-02-15.

Machine learning for vehicle allocation

Номер патента: AU2021364386A9. Автор: Mashhur Zarif Haque,Kyri Elyse Barton,Kevin Michael Burke. Владелец: Driverdo LLC. Дата публикации: 2024-09-19.

Trust related management of artificial intelligence or machine learning pipelines in relation to adversarial robustness

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Machine learning for real-time contextual analysis in consumer service

Номер патента: US20240354650A1. Автор: Amanda Jo TRIOLO,Brianna Aurelia SKIFFINGTON,Luis Jorge GUARENA. Владелец: Individual. Дата публикации: 2024-10-24.

Natural language processing system with machine learning for meeting management

Номер патента: US20240362594A1. Автор: Bijan Kumar Mohanty,Gregory Michael Ramsey,David J. Linsey. Владелец: Dell Products LP. Дата публикации: 2024-10-31.

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

Номер патента: RU2731744C1. Автор: Игорь Сергеевич Костромин,Игорь Александрович Погибельский,Игорь Геннадьевич Мищенко,Андрей Александрович Васильев,Рубен Левонович Пальян,Олег Николаевич Дьяков,Александр Анатольевич Зверьков. Владелец: Акционерное общество "ПКК МИЛАНДР". Дата публикации: 2020-09-08.

System and method for adaptation of containers for floating-point data for training of a machine learning model

Номер патента: WO2023201424A1. Автор: Andreas Moshovos,Milos NIKOLIC,Jiahui Wang,Enrique TORRES SANCHEZ. Владелец: THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO. Дата публикации: 2023-10-26.

Method and system for adaptation of a trained object detection model to account for domain shift

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Method, apparatus and system for adaptating a machine learning model for optical flow map prediction

Номер патента: US20230148384A1. Автор: Yang Wang,Yuanhao Yu,Xiaolin Wu,Irina Kezele,Jin Tang,Wentao Liu,Seyed Mehdi AYYOUBZADEH. Владелец: Huawei Technologies Co Ltd. Дата публикации: 2023-05-11.

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

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Debugging and profiling of machine learning model training

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Machine learning for splice improvement

Номер патента: EP3990269A1. Автор: Kevin Ray Knapp,Anirban Kamal Bhattacharjee. Владелец: Bridgestone Americas Tire Operations LLC. Дата публикации: 2022-05-04.

Federated teacher-student machine learning

Номер патента: EP3940604A1. Автор: Francesco Cricri,Emre Baris Aksu,Hamed REZAZADEGAN TAVAKOLI. Владелец: NOKIA TECHNOLOGIES OY. Дата публикации: 2022-01-19.

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

Номер патента: US12045704B2. Автор: Yu Gu,Yinhe Cheng,Sam Peter Hamilton. Владелец: VISA INTERNATIONAL SERVICE ASSOCIATION. Дата публикации: 2024-07-23.

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

Номер патента: FI20226119A1. Автор: Jussi Ruutu,Ville Ruutu,Honain Derrar. Владелец: Elisa Oyj. Дата публикации: 2024-06-20.

Machine learning device and maching learning method of machine learning device

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

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Knowledge sharing for machine learning systems

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Systems and methods for using machine learning for managing application incidents

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Machine learning platform

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Federated teacher-student machine learning

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

Номер патента: WO2024134011A1. Автор: Jussi Ruutu,Ville Ruutu,Honain Derrar. Владелец: Elisa Oyj. Дата публикации: 2024-06-27.

Hybrid learning for intelligent instruments

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Automated problem detection for machine learning models

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Transfer learning for molecular structure generation

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Systems and methods for machine learning model management

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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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Software model testing for machine learning models

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Data sovereignty compliant machine learning

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Accelerating the thermoplastics welding process using multi-source machine learning

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Biased based delegation in machine learning models

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Monitoring and analyzing body language with machine learning, using artificial intelligence systems for improving interaction between humans, and humans and robots

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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

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Machine learning device

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Responding to machine learning requests from multiple clients

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Unlearnable tasks in machine learning

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Machine learning modeling of probe intensity

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Analytic techniques for improved super tiling machine learning processing

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Analytic techniques for improved super tiling machine learning processing

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Machine learning design for long-term reliability and stress testing

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Systems and methods for generation of machine-learned multitask models

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Data mining using machine learning for autonomous systems and applications

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Performance provisioning using machine learning based automated workload classification

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A method of training a machine learning algorithm to identify objects or activities in video surveillance data

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Machine learning to generate and evaluate visualizations

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Account risk detection and account limitation generation using machine learning

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Machine learning apparatus and method for machine learning

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Systems and methods for automated insertion of supplemental content into a virtual environment using a machine learning model

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Method and system for training machine learning system

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Systems and methods for obtaining optimal mother wavelets for facilitating machine learning tasks

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Computer-implemented method for generating a trained machine learning model

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Systems and methods for compression and distribution of machine learning models

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Machine learning system for digital assistants

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Techniques for training and analyzing a machine learning model

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Characterizing failures of a machine learning model based on instance features

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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

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

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Method, apparatus, and system for providing a location representation for machine learning tasks

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Machine learned virtual gaming environment

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Machine learned resolution enhancement for virtual gaming environment

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Upgrading a machine learning model's training state

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