JPWO2020159568A5 - - Google Patents
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- JPWO2020159568A5 JPWO2020159568A5 JP2021517369A JP2021517369A JPWO2020159568A5 JP WO2020159568 A5 JPWO2020159568 A5 JP WO2020159568A5 JP 2021517369 A JP2021517369 A JP 2021517369A JP 2021517369 A JP2021517369 A JP 2021517369A JP WO2020159568 A5 JPWO2020159568 A5 JP WO2020159568A5
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- machine learning
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Applications Claiming Priority (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
IN201941003803 | 2019-01-30 | ||
IN201941003803 | 2019-01-30 | ||
US16/458,924 US20200242511A1 (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 (3)
Publication Number | Publication Date |
---|---|
JP2022518646A JP2022518646A (ja) | 2022-03-16 |
JPWO2020159568A5 true JPWO2020159568A5 (zh) | 2022-04-13 |
JP7308262B2 JP7308262B2 (ja) | 2023-07-13 |
Family
ID=71731357
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2021517369A Active JP7308262B2 (ja) | 2019-01-30 | 2019-07-05 | 機械学習モデルのための動的なデータ選択 |
Country Status (5)
Country | Link |
---|---|
US (1) | US20200242511A1 (zh) |
EP (1) | EP3918541A1 (zh) |
JP (1) | JP7308262B2 (zh) |
CN (1) | CN112789633A (zh) |
WO (1) | WO2020159568A1 (zh) |
Families Citing this family (33)
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WO2018176000A1 (en) | 2017-03-23 | 2018-09-27 | DeepScale, Inc. | Data synthesis for autonomous control systems |
US11409692B2 (en) | 2017-07-24 | 2022-08-09 | Tesla, Inc. | Vector computational unit |
US11893393B2 (en) | 2017-07-24 | 2024-02-06 | Tesla, Inc. | Computational array microprocessor system with hardware arbiter managing memory requests |
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 |
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 |
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 |
US11562231B2 (en) | 2018-09-03 | 2023-01-24 | Tesla, Inc. | Neural networks for embedded devices |
IL282172B2 (en) | 2018-10-11 | 2024-02-01 | Tesla Inc | Systems and methods for training machine models with enhanced 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 |
US20210241183A1 (en) * | 2020-01-31 | 2021-08-05 | Hewlett Packard Enterprise Development Lp | Adaptively synchronizing learning of multiple learning models |
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 |
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 |
CN114372414A (zh) * | 2022-01-06 | 2022-04-19 | 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 |
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US9405389B2 (en) * | 2014-08-29 | 2016-08-02 | Microsoft Technology Licensing, Llc | Noise reduction through democratic alpha smoothing |
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 |
US20200167669A1 (en) * | 2018-11-27 | 2020-05-28 | Oracle International Corporation | Extensible Software Tool with Customizable Machine Prediction |
-
2019
- 2019-07-01 US US16/458,924 patent/US20200242511A1/en active Pending
- 2019-07-05 CN CN201980062988.5A patent/CN112789633A/zh active Pending
- 2019-07-05 EP EP19745454.9A patent/EP3918541A1/en active Pending
- 2019-07-05 WO PCT/US2019/040693 patent/WO2020159568A1/en unknown
- 2019-07-05 JP JP2021517369A patent/JP7308262B2/ja active Active
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