CN113557535A - 基于训练数据与性能趋势的相关性的计算机模型机器学习 - Google Patents

基于训练数据与性能趋势的相关性的计算机模型机器学习 Download PDF

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CN113557535A
CN113557535A CN202080018682.2A CN202080018682A CN113557535A CN 113557535 A CN113557535 A CN 113557535A CN 202080018682 A CN202080018682 A CN 202080018682A CN 113557535 A CN113557535 A CN 113557535A
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陈涵青
A.凯尔盖尔拉梅什
R.劳特雷
R.艾普
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International Business Machines Corp
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/901Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/15Correlation function computation including computation of convolution operations
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2148Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/04Inference or reasoning models

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CN202080018682.2A 2019-03-07 2020-02-28 基于训练数据与性能趋势的相关性的计算机模型机器学习 Pending CN113557535A (zh)

Applications Claiming Priority (3)

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US16/295,062 US11809966B2 (en) 2019-03-07 2019-03-07 Computer model machine learning based on correlations of training data with performance trends
US16/295,062 2019-03-07
PCT/IB2020/051708 WO2020178687A1 (en) 2019-03-07 2020-02-28 Computer model machine learning based on correlations of training data with performance trends

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US (2) US11809966B2 (https=)
JP (1) JP7413392B2 (https=)
CN (1) CN113557535A (https=)
DE (1) DE112020000227T5 (https=)
GB (1) GB2596438A (https=)
WO (1) WO2020178687A1 (https=)

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KR20230027887A (ko) * 2021-08-20 2023-02-28 삼성전자주식회사 트렌드를 이용한 뉴럴 네트워크 학습 방법 및 장치
US12236384B1 (en) 2022-06-27 2025-02-25 Wells Fargo Bank, N.A. Model automation
US20250086449A1 (en) * 2023-09-12 2025-03-13 Bo Deng Gradient descent tunneling for error-free training

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JP2015087973A (ja) 2013-10-31 2015-05-07 インターナショナル・ビジネス・マシーンズ・コーポレーションInternational Business Machines Corporation 生成装置、生成方法、およびプログラム
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WO2020178687A1 (en) 2020-09-10
JP7413392B2 (ja) 2024-01-15
GB2596438A (en) 2021-12-29
US20240020579A1 (en) 2024-01-18
US11809966B2 (en) 2023-11-07
DE112020000227T5 (de) 2021-09-02
JP2022522641A (ja) 2022-04-20
GB202112847D0 (en) 2021-10-27
US20200285899A1 (en) 2020-09-10

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Application publication date: 20211026