{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00204095","sets":["1164:4619:10081:10166"]},"path":["10166"],"owner":"44499","recid":"204095","title":["深層学習のハイパパラメータ最適化における Nelder-Mead 法の初期値評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-03-09"},"_buckets":{"deposit":"d84aa988-0393-470b-ba2e-6223e5af0103"},"_deposit":{"id":"204095","pid":{"type":"depid","value":"204095","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"深層学習のハイパパラメータ最適化における Nelder-Mead 法の初期値評価","author_link":["504777","504775","504774","504772","504773","504776"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"深層学習のハイパパラメータ最適化における Nelder-Mead 法の初期値評価"}]},"item_type_id":"4","publish_date":"2020-03-09","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"近畿大学"},{"subitem_text_value":"産業技術総合研究所人工知能研究センター"},{"subitem_text_value":"産業技術総合研究所人工知能研究センター／株式会社サイバーエージェント"},{"subitem_text_value":"産業技術総合研究所人工知能研究センター／グリー株式会社"},{"subitem_text_value":"産業技術総合研究所人工知能研究センター"},{"subitem_text_value":"近畿大学"}]},"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/204095/files/IPSJ-CVIM20221028.pdf","label":"IPSJ-CVIM20221028.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM20221028.pdf","filesize":[{"value":"2.9 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"6c3328fe-03e7-4c6e-bd0a-08043c761502","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2020 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"竹長, 慎太朗"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"渡邊, 修平"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"野村, 将寛"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"尾崎, 嘉彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大西, 正輝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"波部, 斉"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11131797","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8701","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"深層学習においてハイパパラメータは精度向上に大きな影響を与え，Nelder-Mead 法は深層学習のハイパパラメータ最適化手法において高い探索性能を持つことが知られている．一般的には，Nelder-Mead 法の初期シンプレックスはランダムに決定されることが多いが，探索性能は初期シンプレックスの形状に依存するため適切な初期シンプレックスを決める必要がある．これまで，Pfeffer，Nash，Han，Varadhan らは探索範囲内に，シンプレックスを生成するための一つの開始点を決め，そこから初期シンプレックスを生成する手法を提案している．本研究では，これらの初期シンプレックスの生成手法が深層学習の精度向上にどのように貢献するかを明らかにする．\n","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータビジョンとイメージメディア（CVIM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2020-03-09","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"28","bibliographicVolumeNumber":"2020-CVIM-221"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":204095,"updated":"2025-01-19T20:19:45.645097+00:00","links":{},"created":"2025-01-19T01:06:24.798211+00:00"}