JP7568085B2 - 機械学習プログラム,機械学習方法および機械学習装置 - Google Patents

機械学習プログラム,機械学習方法および機械学習装置 Download PDF

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JP7568085B2
JP7568085B2 JP2023525255A JP2023525255A JP7568085B2 JP 7568085 B2 JP7568085 B2 JP 7568085B2 JP 2023525255 A JP2023525255 A JP 2023525255A JP 2023525255 A JP2023525255 A JP 2023525255A JP 7568085 B2 JP7568085 B2 JP 7568085B2
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亮介 園田
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Fujitsu Ltd
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JP2023525255A 2021-06-02 2021-06-02 機械学習プログラム,機械学習方法および機械学習装置 Active JP7568085B2 (ja)

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WO2024166331A1 (ja) * 2023-02-09 2024-08-15 富士通株式会社 機械学習プログラム、方法、及び装置
WO2024184982A1 (ja) * 2023-03-03 2024-09-12 富士通株式会社 公平性制御プログラム、公平性制御装置、および公平性制御方法

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WO2021085188A1 (ja) 2019-10-29 2021-05-06 ソニー株式会社 バイアス調整装置、情報処理装置、情報処理方法及び情報処理プログラム

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US11645620B2 (en) 2019-03-15 2023-05-09 Tecnotree Technologies, Inc. Framework for explainability with recourse of black-box trained classifiers and assessment of fairness and robustness of black-box trained classifiers
EP3979137A4 (en) 2019-05-27 2022-08-10 Sony Group Corporation ARTIFICIAL INTELLIGENCE DEVICE AND PROGRAM AND METHOD OF MAKING

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WO2021085188A1 (ja) 2019-10-29 2021-05-06 ソニー株式会社 バイアス調整装置、情報処理装置、情報処理方法及び情報処理プログラム

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ZEHLIKE, Meike et al.,Reducing disparate exposure in ranking: A learning to rank approach [online],2020年04月20日,pp.2849-2855,[retrieved on 2021.06.23], Retrieved from the Internet: <URL: https://dl.acm.org/doi/pdf/10.1145/3366424.3380048>

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US20240086706A1 (en) 2024-03-14
EP4350585A4 (en) 2024-07-31
EP4350585A1 (en) 2024-04-10

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