名字 发表于 2025-3-25 03:31:28

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纤细 发表于 2025-3-25 08:18:50

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Invertebrate 发表于 2025-3-25 15:37:35

Algorithmic Bias and Fairness in Case-Based Reasoningrning distorts the case-retrieval process. We find that bias is addressed with a minimum impact on case-based predictions - little more than the predictions that need to be changed are changed. However, the effect on explanation is more significant as the case-retrieval . is impacted.

STELL 发表于 2025-3-25 16:05:23

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口诀 发表于 2025-3-25 23:15:30

Conference proceedings 2022ey deal with AI and related research focusing on comparison and integration of CBR with other AI methods such as deep learning architectures, reinforcement learning, lifelong learning, and eXplainable AI (XAI)..

CLAP 发表于 2025-3-26 03:23:16

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Unsaturated-Fat 发表于 2025-3-26 05:49:14

Conference proceedings 2022ing September 12-15, 2022..The theme of ICCBR 2022 was Global Challenges for CBR aiming to consider how CBR can and might contribute to challenges in sustainability, climate change, and global health. The 26 papers presented in this volume were carefully reviewed and selected from 68 submissions. Th

Innovative 发表于 2025-3-26 11:48:44

A Note on the Wave Climatology of UK Waters process to help retrieve a suitable explainer from a catalogue made of existing XAI libraries. Our hypothesis is that CBR helps the task of learning from the explanation experiences and will help to retrieve explainers for other similar scenarios.

watertight, 发表于 2025-3-26 16:25:00

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calumniate 发表于 2025-3-26 18:40:18

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查看完整版本: Titlebook: Case-Based Reasoning Research and Development; 30th International C Mark T. Keane,Nirmalie Wiratunga Conference proceedings 2022 The Editor