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題名 A Comparison of P-Value Aggregation Methods for Feature Importance Testing in Machine Learning
作者 黃柏僩
Yen, Li-Ping;Huang, Po-Hsien
貢獻者 心理系
關鍵詞 Machine Learning; Feature Importance; P-Value Aggregation
日期 2026-09
上傳時間 3-Sep-2026 16:06:39 (UTC+8)
關聯 The 90th Annual Convention of the Japanese Psychological Association, Japanese Psychological Association
資料類型 conference
dc.contributor 心理系
dc.creator (作者) 黃柏僩
dc.creator (作者) Yen, Li-Ping;Huang, Po-Hsien
dc.date (日期) 2026-09
dc.date.accessioned 3-Sep-2026 16:06:39 (UTC+8)-
dc.date.available 3-Sep-2026 16:06:39 (UTC+8)-
dc.date.issued (上傳時間) 3-Sep-2026 16:06:39 (UTC+8)-
dc.identifier.uri (URI) https://ah.lib.nccu.edu.tw/item?item_id=184753-
dc.format.extent 133 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) The 90th Annual Convention of the Japanese Psychological Association, Japanese Psychological Association
dc.subject (關鍵詞) Machine Learning; Feature Importance; P-Value Aggregation
dc.title (題名) A Comparison of P-Value Aggregation Methods for Feature Importance Testing in Machine Learning
dc.type (資料類型) conference