{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00189216","sets":["6504:9465:9466"]},"path":["9466"],"owner":"6748","recid":"189216","title":["符号制約学習によるタンパク質機能予測"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-03-13"},"_buckets":{"deposit":"d3a3f6dd-f735-46f3-bca7-f6508c0abf9f"},"_deposit":{"id":"189216","pid":{"type":"depid","value":"189216","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"符号制約学習によるタンパク質機能予測","author_link":["429989","429987","429988"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"符号制約学習によるタンパク質機能予測"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータと人間社会","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2018-03-13","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":"群馬大"},{"subitem_text_value":"群馬大"},{"subitem_text_value":"群馬大"}]},"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/189216/files/IPSJ-Z80-7ZF-03.pdf","label":"IPSJ-Z80-7ZF-03.pdf"},"date":[{"dateType":"Available","dateValue":"2018-05-07"}],"format":"application/pdf","filename":"IPSJ-Z80-7ZF-03.pdf","filesize":[{"value":"299.5 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"a341e5e1-6bb2-49a3-a0ed-22010c3c06f2","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"下山, 愛祐美"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小林, 美里"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"加藤, 毅"}],"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":"Blast スコアなどの配列間類似度はタンパク質機能予測に有用であり,配列類似度と判別的学習を組み合わせたSVM-Pairwise 法が広く使われている.SVM-Pairwise 法は,訓練用例題との配列類似度を特徴ベクトルとして,機械学習を行う方法である.本研究では,この学習の際に符号制約をつけると飛躍的に予測性能が向上することを確認した.本発表では,その成果を報告する.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"936","bibliographic_titles":[{"bibliographic_title":"第80回全国大会講演論文集"}],"bibliographicPageStart":"935","bibliographicIssueDates":{"bibliographicIssueDate":"2018-03-13","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2018"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"id":189216,"updated":"2025-01-20T01:45:17.912451+00:00","links":{},"created":"2025-01-19T00:55:17.826046+00:00"}