JP7298789B2 - 予測装置、学習装置、予測方法、学習方法、予測プログラム及び学習プログラム - Google Patents

予測装置、学習装置、予測方法、学習方法、予測プログラム及び学習プログラム Download PDF

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JP7298789B2
JP7298789B2 JP2022567480A JP2022567480A JP7298789B2 JP 7298789 B2 JP7298789 B2 JP 7298789B2 JP 2022567480 A JP2022567480 A JP 2022567480A JP 2022567480 A JP2022567480 A JP 2022567480A JP 7298789 B2 JP7298789 B2 JP 7298789B2
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JPWO2022244563A1 (enExample
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皓亮 角田
貴大 藤森
海仁 李
真平 竹本
拓也 南
好成 奥野
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Resonac Corp
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Hitachi Chemical Co Ltd
Showa Denko Materials Co Ltd
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    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
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    • G06COMPUTING OR CALCULATING; COUNTING
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JP2022567480A 2021-05-18 2022-04-14 予測装置、学習装置、予測方法、学習方法、予測プログラム及び学習プログラム Active JP7298789B2 (ja)

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US20250217446A1 (en) * 2021-05-28 2025-07-03 Nvidia Corporation Optimizing parameter estimation for training neural networks
US20250077372A1 (en) * 2023-09-06 2025-03-06 Dell Products L.P. Proactive insights for system health
JP2025137162A (ja) 2024-03-08 2025-09-19 富士通株式会社 施策特定プログラム、施策特定方法および情報処理装置

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001195379A (ja) 2000-01-14 2001-07-19 Nippon Telegr & Teleph Corp <Ntt> 多数決予測機械の構成方法、多数決予測機械及びその記録媒体
JP2006308515A (ja) 2005-05-02 2006-11-09 Fuji Electric Systems Co Ltd 油入電気機器の劣化診断方法
US20200349434A1 (en) 2019-03-27 2020-11-05 GE Precision Healthcare LLC Determining confident data samples for machine learning models on unseen data
JP2021018508A (ja) 2019-07-18 2021-02-15 株式会社日立ハイテク データ分析装置、データ分析方法及びデータ分析プログラム

Family Cites Families (3)

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JP2006309709A (ja) 2005-03-30 2006-11-09 Jfe Steel Kk 結果予測装置、制御装置及び品質設計装置
JP6881137B2 (ja) 2017-08-03 2021-06-02 日本製鉄株式会社 製品の状態予測装置及び方法、製造プロセスの制御システム、並びにプログラム
JP7335146B2 (ja) 2019-11-29 2023-08-29 株式会社エアウィーヴ マットレス、およびクッション体カバー

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001195379A (ja) 2000-01-14 2001-07-19 Nippon Telegr & Teleph Corp <Ntt> 多数決予測機械の構成方法、多数決予測機械及びその記録媒体
JP2006308515A (ja) 2005-05-02 2006-11-09 Fuji Electric Systems Co Ltd 油入電気機器の劣化診断方法
US20200349434A1 (en) 2019-03-27 2020-11-05 GE Precision Healthcare LLC Determining confident data samples for machine learning models on unseen data
JP2021018508A (ja) 2019-07-18 2021-02-15 株式会社日立ハイテク データ分析装置、データ分析方法及びデータ分析プログラム

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
POLIKAR, R.,Ensemble Based Systems in Decision Making,IEEE Circuits and Systems Magazine,2006年09月06日,Vol. 6, No. 3, Third Quater 2006,pp. 21-45,[retrieved on 2022-06-14], Retrieved from the Internet: <URL: https://ieeexplore.ieee.org/document/1688199>,<DOI: 10.1109/MCAS.2006.1688199>
Shawn Watanabe,Pythonではじめる機械学習 2回目,nownab.log [online],2017年11月06日,[retrieved on 2023-02-14], Retrieved from the Internet: <URL: https://blog.nownabe.com/2017/11/08/1174.html/>
中川 慧ほか,金融時系列のための深層t過程回帰モデル,第21回 人工知能学会 金融情報学研究会(SIG-FIN),日本,人工知能学会,2018年10月20日

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WO2022244563A1 (ja) 2022-11-24
CN117396896A (zh) 2024-01-12
US20240232659A1 (en) 2024-07-11
EP4343620A1 (en) 2024-03-27
EP4343620A4 (en) 2025-04-30
JP2023113928A (ja) 2023-08-16

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