{"updated":"2025-01-22T23:24:56.177648+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00017269","sets":["934:989:1011:1012"]},"path":["1012"],"owner":"1","recid":"17269","title":["エピスタシス尺度に基づくリンケージ同定手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2002-11-15"},"_buckets":{"deposit":"33786258-f339-444c-a685-f07002508fa8"},"_deposit":{"id":"17269","pid":{"type":"depid","value":"17269","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"エピスタシス尺度に基づくリンケージ同定手法の提案","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"エピスタシス尺度に基づくリンケージ同定手法の提案"},{"subitem_title":"Proposal of a Linkage Identification Method Based on Epistasis Measure","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"オリジナル論文","subitem_subject_scheme":"Other"}]},"item_type_id":"3","publish_date":"2002-11-15","item_3_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"北海道大学情報メディア教育研究総合センター"}]},"item_3_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Center for Information and Multimedia Studies, Hokkaido University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/17269/files/IPSJ-TOM4310004.pdf"},"date":[{"dateType":"Available","dateValue":"2004-11-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-TOM4310004.pdf","filesize":[{"value":"760.2 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"949949ba-2249-4d35-9ba6-9c40e7a26bc2","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2002 by the Information Processing Society of Japan"}]},"item_3_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"棟朝, 雅晴"}],"nameIdentifiers":[{}]}]},"item_3_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Masaharu, Munetomo","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_3_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11464803","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_3_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7780","subitem_source_identifier_type":"ISSN"}]},"item_3_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"遺伝的アルゴリズム（Genetic Algorithm ，GA ）はビルディングブロックを交叉により組み合わせることで効果的な探索を実現しているが，そのためにどの遺伝子座がビルディングブロックを構成しうるのかを調べるリンケージ同定が重要となる．リンケージ同定に関してはこれまでにも確率モデルに基づく方法や非線形性もしくは非単調性を基に判断する手法が提案されている．本論文では，遺伝子座間に存在する非線形性を検出することでリンケージ同定を行うLINC （Linkage Identi cation by Nonlinearity Check ）を発展させ，それぞれの遺伝子座のペアに対してエピスタシス（非線形性）尺度を定義し，それに基づいてリンケージの同定を実現する手法を提案する．","subitem_description_type":"Other"}]},"item_3_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Genetic Algorithms realize e ective search by exchanging building blocks through genetic recombinations.To realize e ective genetic search,linkage identi cation becomes important which detects a set of loci tightly linked to form a building block.Several methods are already proposed to identify linkage such as linkage learning algorithms based on probabilistic models and linkage identi cation procedures based on nonlinearity or non-monotonicity detection. In this paper,we extend the Linkage Identi cation by Nonlinearity Check (LINC)which identies linkage based on nonlinearity detection by de ning an epistasis measure for each pair of loci to realize linkage identi cation with the epistasis measure.","subitem_description_type":"Other"}]},"item_3_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"13","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌数理モデル化と応用（TOM）"}],"bibliographicPageStart":"6","bibliographicIssueDates":{"bibliographicIssueDate":"2002-11-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"SIG10(TOM7)","bibliographicVolumeNumber":"43"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"created":"2025-01-18T22:50:18.741105+00:00","id":17269,"links":{}}