{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00196957","sets":["6504:9795:9801"]},"path":["9801"],"owner":"6748","recid":"196957","title":["局所強凸性を利用した双対座標上昇法の高速化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-02-28"},"_buckets":{"deposit":"0ce3c4c9-2b72-49c5-997a-bf6c6b128130"},"_deposit":{"id":"196957","pid":{"type":"depid","value":"196957","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"局所強凸性を利用した双対座標上昇法の高速化","author_link":["471989","471988","471987","471986"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"局所強凸性を利用した双対座標上昇法の高速化"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2019-02-28","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":"デンソー"},{"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/196957/files/IPSJ-Z81-4U-07.pdf","label":"IPSJ-Z81-4U-07.pdf"},"date":[{"dateType":"Available","dateValue":"2019-05-28"}],"format":"application/pdf","filename":"IPSJ-Z81-4U-07.pdf","filesize":[{"value":"350.9 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"8a40ccc6-92ef-4152-91c8-2c2a419c08df","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"中島, 直也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"廣橋, 義寛"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"太田, 直哉"}],"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":"SVM やロジスティック回帰など多くの機械学習は経験リスク最小化問題(ERM)に帰着される．ERM を解くための方法として，確率的双対座標上昇法という最適化算法がある．本研究では，局所強凸性を利用して，最適化算法の高速化を試みた．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"466","bibliographic_titles":[{"bibliographic_title":"第81回全国大会講演論文集"}],"bibliographicPageStart":"465","bibliographicIssueDates":{"bibliographicIssueDate":"2019-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2019"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"id":196957,"updated":"2025-01-19T22:34:39.423528+00:00","links":{},"created":"2025-01-19T01:01:27.025072+00:00"}