{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00239235","sets":["6164:6165:6522:11751"]},"path":["11751"],"owner":"44499","recid":"239235","title":["Nバージョン構成による機械学習システムの高信頼化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-09-10"},"_buckets":{"deposit":"0dbe7ce8-67cb-48f5-b64f-90371c572203"},"_deposit":{"id":"239235","pid":{"type":"depid","value":"239235","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Nバージョン構成による機械学習システムの高信頼化","author_link":["655470"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Nバージョン構成による機械学習システムの高信頼化"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"基調講演","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2024-09-10","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"筑波大学システム情報系"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Institute of Syste ms and Information Engineering , University of Tsukuba","subitem_text_language":"en"}]},"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/239235/files/IPSJ-SES2024007.pdf","label":"IPSJ-SES2024007.pdf"},"date":[{"dateType":"Available","dateValue":"2026-09-10"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SES2024007.pdf","filesize":[{"value":"118.9 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"12"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"7131d07f-ba63-4087-97ce-3063552dc242","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"町田, 文雄"}],"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_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"機械学習を組み込んだソフトウェアシステムの応用が広がり,機械学習システムの品質設計が課題となっている.特に自動運転車などの高度な安全性や信頼性が要求されるシステムでは機械学習モデルの出力の信頼性を考慮したシステムの品質設計が必要である.本講演では N バージョンプログラミングの考え方を応用した機械学習システムの高信頼化手法の研究について紹介する.N バージョン機械学習システムの出力の信頼性はモデルの多様性と入力データの多様性によって特徴づけられることを示し,画像分類やオブジェクト検出などのタスクで信頼性の向上効果を評価した結果を述べる.また,高信頼なソフトウェア開発自動化に向けて N バージョン構成法を応用する研究の展望についても述べる.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"15","bibliographic_titles":[{"bibliographic_title":"ソフトウェアエンジニアリングシンポジウム2024論文集"}],"bibliographicPageStart":"15","bibliographicIssueDates":{"bibliographicIssueDate":"2024-09-10","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:42:45.550584+00:00","updated":"2025-01-19T08:21:11.490130+00:00","id":239235}