JP7424507B2 - 検知プログラム、検知方法および検知装置 - Google Patents

検知プログラム、検知方法および検知装置 Download PDF

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JP7424507B2
JP7424507B2 JP2022556825A JP2022556825A JP7424507B2 JP 7424507 B2 JP7424507 B2 JP 7424507B2 JP 2022556825 A JP2022556825 A JP 2022556825A JP 2022556825 A JP2022556825 A JP 2022556825A JP 7424507 B2 JP7424507 B2 JP 7424507B2
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寛彰 金月
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Fujitsu Ltd
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    • G06COMPUTING OR CALCULATING; COUNTING
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JP2022556825A 2020-10-16 2020-10-16 検知プログラム、検知方法および検知装置 Active JP7424507B2 (ja)

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WO2021079458A1 (ja) * 2019-10-24 2021-04-29 富士通株式会社 検出方法、検出プログラムおよび情報処理装置
WO2024047758A1 (ja) * 2022-08-30 2024-03-07 富士通株式会社 訓練データ分布推定プログラム、装置、及び方法

Citations (1)

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Publication number Priority date Publication date Assignee Title
US20170330109A1 (en) 2016-05-16 2017-11-16 Purepredictive, Inc. Predictive drift detection and correction

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WO2012042521A2 (en) 2010-09-27 2012-04-05 Carmel-Haifa University Economic Corporation Ltd Detecting change points in data streams
US11030536B2 (en) 2015-04-16 2021-06-08 Siemens Aktiengesellschaft Method and apparatus for operating an automation system and accounting for concept drift
JP7024515B2 (ja) 2018-03-09 2022-02-24 富士通株式会社 学習プログラム、学習方法および学習装置
WO2020076309A1 (en) * 2018-10-09 2020-04-16 Hewlett-Packard Development Company, L.P. Categorization to related categories
JP7592737B2 (ja) * 2020-03-06 2024-12-02 ボストンジーン コーポレイション 多重免疫蛍光イメージングを使用する組織特性の決定

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170330109A1 (en) 2016-05-16 2017-11-16 Purepredictive, Inc. Predictive drift detection and correction

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
CERQUEIRA, Vitor et al.,"Unsupervised Concept Drift Detection Using a Student-Teacher Approach",Lecture Notes in Computer Science [online],スイス,Springer Nature,2020年10月15日,volume 12323,pp. 190-204,[検索日 2020.11.27], インターネット: <URL: https://link.springer.com/chapter/10.1007/978-3-030-61527-7_13>
LU, Jie et al.,"Learning under Concept Drift: A Review",IEEE Transactions on Knowledge and Data Engineering [online],米国,IEEE,2019年12月,vol. 31, no. 12,pp. 2346-2363,[検索日 2020.11.27], インターネット: <URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8496795>
石井 遊哉 ほか,「Knowledge Distillationにおける温度パラメータの適正化に関する検討」,情報処理学会研究報告 コンピュータビジョンとイメージメディア(CVIM) [online],情報処理学会,2019年02月28日,vol. 2019-CVIM-216, no. 10,pp. 1-5,[検索日 2019.03.01], インターネット: <URL: https://ipsj.ixsq.nii.ac.jp/ej/?action=repository_uri&item_id=194906&file_id=1&file_no=1>
石田 勉 ほか,「ラベルなし運用データに対するコンセプトドリフト検知手法の評価」,人工知能学会 第34回全国大会(2020) 論文集 [online],一般社団法人 人工知能学会,2020年06月,セッションID: 4Rin1-05, pp. 1-4,[検索日 2020.11.27], インターネット: <URL: https://www.jstage.jst.go.jp/article/pjsai/JSAI2020/0/JSAI2020_4Rin105/_pdf/-char/ja>

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WO2022079919A1 (ja) 2022-04-21
US12591808B2 (en) 2026-03-31
JPWO2022079919A1 (https=) 2022-04-21

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