JP7308262B2 - 機械学習モデルのための動的なデータ選択 - Google Patents

機械学習モデルのための動的なデータ選択 Download PDF

Info

Publication number
JP7308262B2
JP7308262B2 JP2021517369A JP2021517369A JP7308262B2 JP 7308262 B2 JP7308262 B2 JP 7308262B2 JP 2021517369 A JP2021517369 A JP 2021517369A JP 2021517369 A JP2021517369 A JP 2021517369A JP 7308262 B2 JP7308262 B2 JP 7308262B2
Authority
JP
Japan
Prior art keywords
data
training
machine learning
predictions
learning model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
JP2021517369A
Other languages
English (en)
Japanese (ja)
Other versions
JP2022518646A5 (https=
JP2022518646A (ja
JPWO2020159568A5 (https=
Inventor
ケール，サムシュワー・マロチ
デサイ，ウトカルシュ・ミリンド
クリシュナムールティ，ビジャヤラクシュミ
Original Assignee
オラクル・インターナショナル・コーポレイション
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by オラクル・インターナショナル・コーポレイション filed Critical オラクル・インターナショナル・コーポレイション
Publication of JP2022518646A publication Critical patent/JP2022518646A/ja
Publication of JP2022518646A5 publication Critical patent/JP2022518646A5/ja
Publication of JPWO2020159568A5 publication Critical patent/JPWO2020159568A5/ja
Application granted granted Critical
Publication of JP7308262B2 publication Critical patent/JP7308262B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • 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]
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • 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)
JP2021517369A 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 Active JP7308262B2 (ja)

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 (4)

Publication Number Publication Date
JP2022518646A JP2022518646A (ja) 2022-03-16
JP2022518646A5 JP2022518646A5 (https=) 2022-04-13
JPWO2020159568A5 JPWO2020159568A5 (https=) 2022-04-13
JP7308262B2 true 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) US12555024B2 (https=)
EP (1) EP3918541A1 (https=)
JP (1) JP7308262B2 (https=)
CN (1) CN112789633B (https=)
WO (1) WO2020159568A1 (https=)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210049460A1 (en) * 2019-08-15 2021-02-18 Noodle Analytics, Inc. Deep probabilistic decision machines

Families Citing this family (47)

* Cited by examiner, † Cited by third party
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
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

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160062493A1 (en) 2014-08-29 2016-03-03 Microsoft Corporation Noise Reduction Through Democratic Alpha Smoothing
US20160371601A1 (en) 2015-06-18 2016-12-22 International Business Machines Corporation Quality-directed adaptive analytic retraining
JP2018535492A (ja) 2016-06-24 2018-11-29 平安科技（深▲せん▼）有限公司 深層学習に基づくナンバープレート分類方法、システム、電子装置及び記憶媒体

Family Cites Families (18)

* Cited by examiner, † Cited by third party
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
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
US10755196B2 (en) 2016-05-06 2020-08-25 Accenture Global Solutions Limited Determining retraining of predictive models
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

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160062493A1 (en) 2014-08-29 2016-03-03 Microsoft Corporation Noise Reduction Through Democratic Alpha Smoothing
US20160371601A1 (en) 2015-06-18 2016-12-22 International Business Machines Corporation Quality-directed adaptive analytic retraining
JP2018535492A (ja) 2016-06-24 2018-11-29 平安科技（深▲せん▼）有限公司 深層学習に基づくナンバープレート分類方法、システム、電子装置及び記憶媒体

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
KOYCHEV, Ivan et al.，"Tracking Drifting Concepts by Time Window Optimisation"，Research and Development in Intelligent Systems XXII [online]，2006年，p.46-59，［2023年04月11日検索］，インターネット＜ＵＲＬ：https://www.researchgate.net/publication/226412883_Tracking_Drifting_Concepts_by_Time_Window_Optimisation＞，DOI: 10.1007/978-1-84628-226-3_5
WIDMER, Gerhard et al.，"Learning in the Presence of Concept Drift and Hidden Contexts"，Machine Learning [online]，Vol.23，1996年，p.69-101，［2023年04月11日検索］，インターネット＜ＵＲＬ：https://link.springer.com/article/10.1007/BF00116900＞

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210049460A1 (en) * 2019-08-15 2021-02-18 Noodle Analytics, Inc. Deep probabilistic decision machines
US11966840B2 (en) * 2019-08-15 2024-04-23 Noodle Analytics, Inc. Deep probabilistic decision machines

Also Published As

Publication number Publication date
WO2020159568A1 (en) 2020-08-06
CN112789633B (zh) 2025-09-19
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

Similar Documents

Publication Publication Date Title
JP7308262B2 (ja) 機械学習モデルのための動的なデータ選択
US11875368B2 (en) Proactively predicting transaction quantity based on sparse transaction data
US20230094759A1 (en) System and Method of Cyclic Boosting for Explainable Supervised Machine Learning
US10748072B1 (en) Intermittent demand forecasting for large inventories
US7644863B2 (en) Agent using detailed predictive model
JP2021535451A (ja) 需要予測パラメータの最適化
US12602649B2 (en) Predicting supply chain policies using machine learning
US12567034B2 (en) System and processes for optimizing inventory
CN113537850B (zh) 仓储优化方法、装置、计算机设备和存储介质
US20220358436A1 (en) Inventory Allocation and Pricing Optimization System
US12014310B2 (en) Artificial intelligence based hotel demand model
US20160364684A1 (en) Incremental estimation for probabilistic forecaster
Jia et al. Scenario predict-then-optimize for data-driven online inventory routing
CN121285812A (zh) 用于预报实体能量使用的机器学习模型选择
Mahbub et al. A neural approach to product demand forecasting
JP7809104B2 (ja) 離散選択ホテル部屋需要モデル
US20250021866A1 (en) Optimized cross-validation for time-series model
CN119295134B (zh) 数据分析的方法、装置、设备和可读介质
EP3887944B1 (en) Extensible software tool with customizable machine prediction
US12614085B2 (en) Extensible software tool with customizable machine prediction
WO2023278935A1 (en) Artificial intelligence based hotel demand model
CN120045909A (zh) 资源分配方法、装置、计算机设备和存储介质

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20220405

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20220405

A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20230315

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20230418

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20230523

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20230606

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20230703

R150 Certificate of patent or registration of utility model

Ref document number: 7308262

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150