JP7426341B2 - カスタマイズ可能な機械予想を有する拡張可能なソフトウェアツール - Google Patents

カスタマイズ可能な機械予想を有する拡張可能なソフトウェアツール Download PDF

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JP7426341B2
JP7426341B2 JP2020544903A JP2020544903A JP7426341B2 JP 7426341 B2 JP7426341 B2 JP 7426341B2 JP 2020544903 A JP2020544903 A JP 2020544903A JP 2020544903 A JP2020544903 A JP 2020544903A JP 7426341 B2 JP7426341 B2 JP 7426341B2
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ポペスク,カタリン
エトキンド,ウェンディ・エル
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JP2020544903A 2018-11-27 2019-10-14 カスタマイズ可能な機械予想を有する拡張可能なソフトウェアツール Active JP7426341B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US16/201,290 2018-11-27
US16/201,290 US12614085B2 (en) 2018-11-27 2018-11-27 Extensible software tool with customizable machine prediction
PCT/US2019/056069 WO2020112261A1 (en) 2018-11-27 2019-10-14 Extensible software tool with customizable machine prediction

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JP2022506993A JP2022506993A (ja) 2022-01-18
JP2022506993A5 JP2022506993A5 (OSRAM) 2022-10-20
JP7426341B2 true JP7426341B2 (ja) 2024-02-01

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US (1) US12614085B2 (OSRAM)
EP (1) EP3887944B1 (OSRAM)
JP (1) JP7426341B2 (OSRAM)
CN (1) CN111630491B (OSRAM)
WO (1) WO2020112261A1 (OSRAM)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12555024B2 (en) * 2019-01-30 2026-02-17 Oracle International Corporation Dynamic data selection for a machine learning model
US12242958B2 (en) 2020-12-21 2025-03-04 Accenture Global Solutions Limited Multidimensional data analysis for issue prediction
US20250378087A1 (en) * 2021-06-01 2025-12-11 Stynt Inc. Methods and systems for classifying resources to niche models
US20230169363A1 (en) * 2021-11-30 2023-06-01 International Business Machines Corporation Automatically generating factsheets for artificial intelligence-based question answering systems
US12153581B2 (en) 2022-04-26 2024-11-26 Truist Bank Remediating dataset issues identified in a machine learning change management architecture
US11983162B2 (en) 2022-04-26 2024-05-14 Truist Bank Change management process for identifying potential regulatory violations for improved processing efficiency
US12326839B2 (en) * 2022-04-26 2025-06-10 Truist Bank Change management process for identifying confidential information for improved processing efficiency
US12265519B2 (en) 2022-04-26 2025-04-01 Truist Bank Change management process for identifying inconsistencies for improved processing efficiency
CN116362129A (zh) * 2023-03-29 2023-06-30 佛山科学技术学院 一种面向机器学习的铝合金抗拉强度特征扩展方法
US12354046B2 (en) * 2023-08-21 2025-07-08 Sap Se Artificial intelligence support in ERP systems
CN119359347A (zh) * 2024-12-26 2025-01-24 明亚保险经纪股份有限公司 基于ai技术的销售辅助系统及方法

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000305606A (ja) 1999-04-26 2000-11-02 Toyo Electric Mfg Co Ltd 配水需要量予測方法
US20130024167A1 (en) 2011-07-22 2013-01-24 Edward Tilden Blair Computer-Implemented Systems And Methods For Large Scale Automatic Forecast Combinations
US20160148115A1 (en) 2014-11-26 2016-05-26 Microsoft Technology Licensing Easy deployment of machine learning models
WO2017168458A1 (ja) 2016-03-28 2017-10-05 日本電気株式会社 予測モデル選択システム、予測モデル選択方法および予測モデル選択プログラム
WO2018207259A1 (ja) 2017-05-09 2018-11-15 日本電気株式会社 情報処理システム、情報処理装置、予測モデル抽出方法および予測モデル抽出プログラム

Family Cites Families (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20010013009A1 (en) * 1997-05-20 2001-08-09 Daniel R. Greening System and method for computer-based marketing
US6931419B1 (en) * 2000-02-11 2005-08-16 Hallmark Cards Incorporated Data management system for automatically accessing, maintaining, propagating user data among plurality of communities, each of which contains plurality of members
US7213199B2 (en) 2004-07-16 2007-05-01 Cognos Incorporated Spreadsheet user-interface for an enterprise planning system having multi-dimensional data store
US7797189B2 (en) * 2007-10-09 2010-09-14 Xerox Corporation System and method of forecasting print job related demand
CN102542474B (zh) * 2010-12-07 2015-10-21 阿里巴巴集团控股有限公司 查询结果排序方法及装置
US8364613B1 (en) 2011-07-14 2013-01-29 Google Inc. Hosting predictive models
US8812416B2 (en) * 2011-11-08 2014-08-19 Nokia Corporation Predictive service for third party application developers
US9053436B2 (en) * 2013-03-13 2015-06-09 Dstillery, Inc. Methods and system for providing simultaneous multi-task ensemble learning
JP6375557B2 (ja) * 2013-09-19 2018-08-22 ロレアル ソシエテ アノニム 面の色及びスペクトルを測定しカテゴリ分類するためのシステム及び方法
US9449287B2 (en) * 2014-04-29 2016-09-20 Wipro Limited System and method for predicting personality traits using disc profiling and big five personality techniques
GB201610883D0 (en) * 2016-06-22 2016-08-03 Microsoft Technology Licensing Llc Privacy-preserving machine learning
US10390114B2 (en) 2016-07-22 2019-08-20 Intel Corporation Memory sharing for physical accelerator resources in a data center
JP6926429B2 (ja) * 2016-09-27 2021-08-25 日本電気株式会社 データ処理装置、データ処理方法、およびプログラム
US10095753B2 (en) * 2016-09-28 2018-10-09 Microsoft Technology Licensing, Llc Aggregation and generation of confidential data insights with confidence values
US11128579B2 (en) * 2016-09-29 2021-09-21 Admithub Pbc Systems and processes for operating and training a text-based chatbot
IL257381A (en) * 2017-02-06 2018-03-29 Neural Algorithms Ltd System and method for automatically building data models
US20180341898A1 (en) * 2017-05-24 2018-11-29 Sears Brands, L.L.C. Demand forecast
US20190019213A1 (en) * 2017-07-12 2019-01-17 Cerebri AI Inc. Predicting the effectiveness of a marketing campaign prior to deployment
US20200160229A1 (en) * 2018-11-15 2020-05-21 Adobe Inc. Creating User Experiences with Behavioral Information and Machine Learning

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000305606A (ja) 1999-04-26 2000-11-02 Toyo Electric Mfg Co Ltd 配水需要量予測方法
US20130024167A1 (en) 2011-07-22 2013-01-24 Edward Tilden Blair Computer-Implemented Systems And Methods For Large Scale Automatic Forecast Combinations
US20160148115A1 (en) 2014-11-26 2016-05-26 Microsoft Technology Licensing Easy deployment of machine learning models
WO2017168458A1 (ja) 2016-03-28 2017-10-05 日本電気株式会社 予測モデル選択システム、予測モデル選択方法および予測モデル選択プログラム
WO2018207259A1 (ja) 2017-05-09 2018-11-15 日本電気株式会社 情報処理システム、情報処理装置、予測モデル抽出方法および予測モデル抽出プログラム

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US20200167669A1 (en) 2020-05-28
JP2022506993A (ja) 2022-01-18
WO2020112261A1 (en) 2020-06-04
CN111630491B (zh) 2024-12-13
EP3887944B1 (en) 2023-08-16
US12614085B2 (en) 2026-04-28
CN111630491A (zh) 2020-09-04
EP3887944A1 (en) 2021-10-06

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