{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00235627","sets":["6504:11678:11698"]},"path":["11698"],"owner":"44499","recid":"235627","title":["ICTCG法の実行時間予測モデルに対する説明可能なAIの適用"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"42a19c59-fc2e-42af-ac2b-695e700bac61"},"_deposit":{"id":"235627","pid":{"type":"depid","value":"235627","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ICTCG法の実行時間予測モデルに対する説明可能なAIの適用","author_link":["643903","643906","643904","643907","643905"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ICTCG法の実行時間予測モデルに対する説明可能なAIの適用"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータシステム","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"名大"},{"subitem_text_value":"名大"},{"subitem_text_value":"名大"},{"subitem_text_value":"名大"},{"subitem_text_value":"名大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/235627/files/IPSJ-Z86-1J-07.pdf","label":"IPSJ-Z86-1J-07.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-1J-07.pdf","filesize":[{"value":"499.5 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"9f590e56-500b-481b-a4c0-77e39d410043","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"中谷, 崇真"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"河合, 直聡"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"片桐, 孝洋"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"星野, 哲也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"永井, 亨"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"AIを使用することで複雑な計算に対して入力データから処理結果や実行時間などを予測することが研究されているが、その予測の妥当性を検証することは効率的で誤りのない実行のために必須である。そこで本研究では不完全前処理CG法(ICTCG法)の実行時間の予測を行列画像及びICTCG法のパラメータを入力として行う機械学習モデルを生成、説明可能なAI(XAI)ツールとしてSHAPを用いて説明することによってAIの回答の妥当性を検証することを目的とする。ここでICTCG法とは、共役勾配法(CG法)などの反復法の前処理に連立一次方程式の解法として用いられる不完全コレスキー分解(IC分解)前処理に閾値の値を設定した数値計算アルゴリズムである。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"32","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"31","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":235627,"updated":"2025-01-19T09:35:06.473674+00:00","links":{},"created":"2025-01-19T01:37:12.524053+00:00"}