CN112789633B - 用于机器学习模型的动态数据选择 - Google Patents
用于机器学习模型的动态数据选择Info
- Publication number
- CN112789633B CN112789633B CN201980062988.5A CN201980062988A CN112789633B CN 112789633 B CN112789633 B CN 112789633B CN 201980062988 A CN201980062988 A CN 201980062988A CN 112789633 B CN112789633 B CN 112789633B
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
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- Theoretical Computer Science (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Mathematical Physics (AREA)
- General Physics & Mathematics (AREA)
- Computing Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| IN201941003803 | 2019-01-30 | ||
| IN201941003803 | 2019-01-30 | ||
| US16/458,924 US12555024B2 (en) | 2019-01-30 | 2019-07-01 | Dynamic data selection for a machine learning model |
| US16/458,924 | 2019-07-01 | ||
| PCT/US2019/040693 WO2020159568A1 (en) | 2019-01-30 | 2019-07-05 | Dynamic data selection for a machine learning model |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112789633A CN112789633A (zh) | 2021-05-11 |
| CN112789633B true CN112789633B (zh) | 2025-09-19 |
Family
ID=71731357
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201980062988.5A Active CN112789633B (zh) | 2019-01-30 | 2019-07-05 | 用于机器学习模型的动态数据选择 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US12555024B2 (https=) |
| EP (1) | EP3918541A1 (https=) |
| JP (1) | JP7308262B2 (https=) |
| CN (1) | CN112789633B (https=) |
| WO (1) | WO2020159568A1 (https=) |
Families Citing this family (48)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11157014B2 (en) | 2016-12-29 | 2021-10-26 | Tesla, Inc. | Multi-channel sensor simulation for autonomous control systems |
| US10678244B2 (en) | 2017-03-23 | 2020-06-09 | Tesla, Inc. | Data synthesis for autonomous control systems |
| US11893393B2 (en) | 2017-07-24 | 2024-02-06 | Tesla, Inc. | Computational array microprocessor system with hardware arbiter managing memory requests |
| US11409692B2 (en) | 2017-07-24 | 2022-08-09 | Tesla, Inc. | Vector computational unit |
| US10671349B2 (en) | 2017-07-24 | 2020-06-02 | Tesla, Inc. | Accelerated mathematical engine |
| US11157441B2 (en) | 2017-07-24 | 2021-10-26 | Tesla, Inc. | Computational array microprocessor system using non-consecutive data formatting |
| US12307350B2 (en) | 2018-01-04 | 2025-05-20 | Tesla, Inc. | Systems and methods for hardware-based pooling |
| US11561791B2 (en) | 2018-02-01 | 2023-01-24 | Tesla, Inc. | Vector computational unit receiving data elements in parallel from a last row of a computational array |
| EP3564883B1 (en) | 2018-04-30 | 2023-09-06 | Hewlett Packard Enterprise Development LP | System and method of decentralized management of device assets outside a computer network |
| US11215999B2 (en) | 2018-06-20 | 2022-01-04 | Tesla, Inc. | Data pipeline and deep learning system for autonomous driving |
| US11361457B2 (en) | 2018-07-20 | 2022-06-14 | Tesla, Inc. | Annotation cross-labeling for autonomous control systems |
| US11636333B2 (en) | 2018-07-26 | 2023-04-25 | Tesla, Inc. | Optimizing neural network structures for embedded systems |
| WO2020030913A1 (en) * | 2018-08-07 | 2020-02-13 | Sophos Limited | Methods and apparatus for management of a machine-learning model to adapt to changes in landscape of potentially malicious artifacts |
| US11562231B2 (en) | 2018-09-03 | 2023-01-24 | Tesla, Inc. | Neural networks for embedded devices |
| WO2020077117A1 (en) | 2018-10-11 | 2020-04-16 | Tesla, Inc. | Systems and methods for training machine models with augmented data |
| US11196678B2 (en) | 2018-10-25 | 2021-12-07 | Tesla, Inc. | QOS manager for system on a chip communications |
| US11816585B2 (en) | 2018-12-03 | 2023-11-14 | Tesla, Inc. | Machine learning models operating at different frequencies for autonomous vehicles |
| US11537811B2 (en) | 2018-12-04 | 2022-12-27 | Tesla, Inc. | Enhanced object detection for autonomous vehicles based on field view |
| US11610117B2 (en) | 2018-12-27 | 2023-03-21 | Tesla, Inc. | System and method for adapting a neural network model on a hardware platform |
| US10997461B2 (en) | 2019-02-01 | 2021-05-04 | Tesla, Inc. | Generating ground truth for machine learning from time series elements |
| US11150664B2 (en) | 2019-02-01 | 2021-10-19 | Tesla, Inc. | Predicting three-dimensional features for autonomous driving |
| US11567514B2 (en) | 2019-02-11 | 2023-01-31 | Tesla, Inc. | Autonomous and user controlled vehicle summon to a target |
| US10956755B2 (en) | 2019-02-19 | 2021-03-23 | Tesla, Inc. | Estimating object properties using visual image data |
| US11966818B2 (en) | 2019-02-21 | 2024-04-23 | Hewlett Packard Enterprise Development Lp | System and method for self-healing in decentralized model building for machine learning using blockchain |
| US11966840B2 (en) * | 2019-08-15 | 2024-04-23 | Noodle Analytics, Inc. | Deep probabilistic decision machines |
| US11556117B2 (en) * | 2019-10-21 | 2023-01-17 | Applied Materials, Inc. | Real-time anomaly detection and classification during semiconductor processing |
| US11190425B2 (en) * | 2019-12-30 | 2021-11-30 | Viavi Solutions Inc. | Anomaly detection in a network based on a key performance indicator prediction model |
| US11615347B2 (en) * | 2019-12-31 | 2023-03-28 | Paypal, Inc. | Optimizing data processing and feature selection for model training |
| US12393883B2 (en) * | 2020-01-31 | 2025-08-19 | Hewlett Packard Enterprise Development Lp | Adaptively synchronizing learning of multiple learning models |
| WO2022004446A1 (ja) * | 2020-07-03 | 2022-01-06 | ソニーグループ株式会社 | 情報処理装置、および情報処理方法、情報処理システム、並びにプログラム |
| EP4214584A4 (en) * | 2020-08-20 | 2024-05-15 | Hitachi Vantara LLC | Systems and methods for an automated data science process |
| KR20220038907A (ko) * | 2020-09-21 | 2022-03-29 | 삼성에스디에스 주식회사 | 생성적 대립 신경망(gan) 기반의 데이터 예측 방법, 그리고 이를 구현하기 위한 장치 |
| US11769318B2 (en) | 2020-11-23 | 2023-09-26 | Argo AI, LLC | Systems and methods for intelligent selection of data for building a machine learning model |
| US12333389B2 (en) | 2020-12-16 | 2025-06-17 | Volkswagen Group of America Investments, LLC | Autonomous vehicle system for intelligent on-board selection of data for training a remote machine learning model |
| CN114764967A (zh) * | 2021-01-14 | 2022-07-19 | 新智数字科技有限公司 | 联合学习框架下设备故障报警的方法 |
| US11657591B2 (en) * | 2021-01-15 | 2023-05-23 | Argo AI, LLC | Autonomous vehicle system for intelligent on-board selection of data for building a remote machine learning model |
| CN113345538B (zh) * | 2021-06-23 | 2022-09-30 | 北京理工大学重庆创新中心 | 一种基于动态选取训练集的材料性能预测方法 |
| US11507922B1 (en) | 2021-06-24 | 2022-11-22 | Coupang Corp. | Computer-implemented systems and methods for artificial intelligence (AI)-based inbound plan generation using fungibility logic |
| WO2022269331A1 (en) * | 2021-06-24 | 2022-12-29 | Coupang Corp. | Computer-implemented systems and methods for artificial intelligence (ai)-based inbound plan generation |
| JP2024535985A (ja) | 2021-08-19 | 2024-10-04 | テスラ,インコーポレイテッド | シミュレートコンテンツを用いた視覚に基づくシステムの訓練 |
| US12462575B2 (en) | 2021-08-19 | 2025-11-04 | Tesla, Inc. | Vision-based machine learning model for autonomous driving with adjustable virtual camera |
| CN114372414B (zh) * | 2022-01-06 | 2024-07-09 | 腾讯科技(深圳)有限公司 | 多模态模型构建方法、装置和计算机设备 |
| CN115147455A (zh) * | 2022-05-31 | 2022-10-04 | 北京迈格威科技有限公司 | 光流预测方法、电子设备、存储介质及程序产品 |
| US20240028935A1 (en) * | 2022-07-21 | 2024-01-25 | Accenture Global Solutions Limited | Context-aware prediction and recommendation |
| JP7842676B2 (ja) * | 2022-11-17 | 2026-04-08 | 日立グローバルライフソリューションズ株式会社 | 学習データ選別装置、貯蔵庫及び学習データ選別方法 |
| US20250071211A1 (en) * | 2023-08-25 | 2025-02-27 | Slava Zhakov | Replaceable artificial intelligence models for voice and text channels |
| US12118494B1 (en) | 2023-09-25 | 2024-10-15 | Asper.AI Inc. | System and method for mitigating risk associated with a machine-generated forecast |
| US12524262B1 (en) | 2025-05-05 | 2026-01-13 | SGM Infotech, LLC | Integrated AI-driven and compliance-aware multi-state encoding framework |
Family Cites Families (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| IES20020647A2 (en) | 2001-08-03 | 2003-03-19 | Tristlam Ltd | A data quality system |
| US20100179930A1 (en) | 2009-01-13 | 2010-07-15 | Eric Teller | Method and System for Developing Predictions from Disparate Data Sources Using Intelligent Processing |
| US8666919B2 (en) | 2011-07-29 | 2014-03-04 | Accenture Global Services Limited | Data quality management for profiling, linking, cleansing and migrating data |
| US8868516B2 (en) | 2012-02-17 | 2014-10-21 | International Business Machines Corporation | Managing enterprise data quality using collective intelligence |
| US9898467B1 (en) | 2013-09-24 | 2018-02-20 | Amazon Technologies, Inc. | System for data normalization |
| US9390112B1 (en) * | 2013-11-22 | 2016-07-12 | Groupon, Inc. | Automated dynamic data quality assessment |
| US10657457B1 (en) * | 2013-12-23 | 2020-05-19 | Groupon, Inc. | Automatic selection of high quality training data using an adaptive oracle-trained learning framework |
| US10877955B2 (en) | 2014-04-29 | 2020-12-29 | Microsoft Technology Licensing, Llc | Using lineage to infer data quality issues |
| US9405389B2 (en) * | 2014-08-29 | 2016-08-02 | Microsoft Technology Licensing, Llc | Noise reduction through democratic alpha smoothing |
| US10339468B1 (en) * | 2014-10-28 | 2019-07-02 | Groupon, Inc. | Curating training data for incremental re-training of a predictive model |
| JP6514503B2 (ja) * | 2014-12-25 | 2019-05-15 | クラリオン株式会社 | 意図推定装置、および意図推定システム |
| CN104679868B (zh) | 2015-03-06 | 2017-09-26 | 四川深度信息技术有限责任公司 | 一种基于数据间关联关系的遗漏数据填补方法 |
| US10163061B2 (en) * | 2015-06-18 | 2018-12-25 | International Business Machines Corporation | Quality-directed adaptive analytic retraining |
| US10755196B2 (en) | 2016-05-06 | 2020-08-25 | Accenture Global Solutions Limited | Determining retraining of predictive models |
| CN106127248A (zh) | 2016-06-24 | 2016-11-16 | 平安科技(深圳)有限公司 | 基于深度学习的车牌分类方法及系统 |
| US20180197087A1 (en) | 2017-01-06 | 2018-07-12 | Accenture Global Solutions Limited | Systems and methods for retraining a classification model |
| CN107330522B (zh) | 2017-07-04 | 2021-06-08 | 北京百度网讯科技有限公司 | 用于更新深度学习模型的方法、装置及系统 |
| RU2672394C1 (ru) | 2017-07-26 | 2018-11-14 | Общество С Ограниченной Ответственностью "Яндекс" | Способы и системы для оценки обучающих объектов посредством алгоритма машинного обучения |
| US20190130303A1 (en) * | 2017-10-26 | 2019-05-02 | International Business Machines Corporation | Smart default threshold values in continuous learning |
| CN108375808A (zh) | 2018-03-12 | 2018-08-07 | 南京恩瑞特实业有限公司 | Nriet基于机器学习的大雾预报方法 |
| CN109191030B (zh) | 2018-11-21 | 2022-05-06 | 深圳越海全球供应链股份有限公司 | 一种提升数据质量的方法及提高仓库运作效率的方法 |
-
2019
- 2019-07-01 US US16/458,924 patent/US12555024B2/en active Active
- 2019-07-05 CN CN201980062988.5A patent/CN112789633B/zh active Active
- 2019-07-05 JP JP2021517369A patent/JP7308262B2/ja active Active
- 2019-07-05 WO PCT/US2019/040693 patent/WO2020159568A1/en not_active Ceased
- 2019-07-05 EP EP19745454.9A patent/EP3918541A1/en not_active Ceased
Also Published As
| Publication number | Publication date |
|---|---|
| WO2020159568A1 (en) | 2020-08-06 |
| JP7308262B2 (ja) | 2023-07-13 |
| US20200242511A1 (en) | 2020-07-30 |
| CN112789633A (zh) | 2021-05-11 |
| JP2022518646A (ja) | 2022-03-16 |
| US12555024B2 (en) | 2026-02-17 |
| EP3918541A1 (en) | 2021-12-08 |
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