JPWO2020208444A5 - - Google Patents

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JPWO2020208444A5
JPWO2020208444A5 JP2021558964A JP2021558964A JPWO2020208444A5 JP WO2020208444 A5 JPWO2020208444 A5 JP WO2020208444A5 JP 2021558964 A JP2021558964 A JP 2021558964A JP 2021558964 A JP2021558964 A JP 2021558964A JP WO2020208444 A5 JPWO2020208444 A5 JP WO2020208444A5
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computer
mlm
fairness
implemented method
initial
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JP2021558964A
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Japanese (ja)
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JP2022527536A5 (https=
JP2022527536A (ja
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Priority claimed from US16/377,727 external-priority patent/US20200320428A1/en
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Publication of JP2022527536A publication Critical patent/JP2022527536A/ja
Publication of JP2022527536A5 publication Critical patent/JP2022527536A5/ja
Publication of JPWO2020208444A5 publication Critical patent/JPWO2020208444A5/ja
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JP2021558964A 2019-04-08 2020-03-18 強化学習を通じた公平性の改善 Pending JP2022527536A (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US16/377,727 US20200320428A1 (en) 2019-04-08 2019-04-08 Fairness improvement through reinforcement learning
US16/377,727 2019-04-08
PCT/IB2020/052465 WO2020208444A1 (en) 2019-04-08 2020-03-18 Fairness improvement through reinforcement learning

Publications (3)

Publication Number Publication Date
JP2022527536A JP2022527536A (ja) 2022-06-02
JP2022527536A5 JP2022527536A5 (https=) 2022-08-18
JPWO2020208444A5 true JPWO2020208444A5 (https=) 2022-08-18

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JP2021558964A Pending JP2022527536A (ja) 2019-04-08 2020-03-18 強化学習を通じた公平性の改善

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US (1) US20200320428A1 (https=)
JP (1) JP2022527536A (https=)
CN (1) CN113692594A (https=)
DE (1) DE112020000537T5 (https=)
GB (1) GB2597406A (https=)
WO (1) WO2020208444A1 (https=)

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CN112905465B (zh) * 2021-02-09 2022-07-22 中国科学院软件研究所 一种基于深度强化学习的机器学习模型黑盒公平性测试方法和系统
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