{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00215263","sets":["6504:10735:10807"]},"path":["10807"],"owner":"44499","recid":"215263","title":["メタ学習を用いた行動認識モデルの個人適応"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"1be5078c-3de8-437e-8a5f-7894fcb7d3a9"},"_deposit":{"id":"215263","pid":{"type":"depid","value":"215263","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"メタ学習を用いた行動認識モデルの個人適応","author_link":["554178","554179","554177"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"メタ学習を用いた行動認識モデルの個人適応"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ネットワーク","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2021-03-04","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":"福井大"},{"subitem_text_value":"福井大"},{"subitem_text_value":"福井大"}]},"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/215263/files/IPSJ-Z83-2W-07.pdf","label":"IPSJ-Z83-2W-07.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-29"}],"format":"application/pdf","filename":"IPSJ-Z83-2W-07.pdf","filesize":[{"value":"426.8 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"e94900cf-7c91-45dc-b189-e0a3784afda0","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"濵﨑, 大輔"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"長谷川, 達人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"近藤, 和真"}],"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":"センサデータを用いた行動認識では深層学習が良く用いられている．不特定多数のセンサデータの学習により行動認識モデルの構築は可能だが，学習に含まれていない個人の推定精度の低下が報告されており，汎用モデルを構築するうえで個人差は大きな問題である．そこで本研究では，汎用モデルを個人に特化させる適応手法により，この問題を解決する．個人適応モデルの構築には，少数データでの学習が可能なメタ学習の手法を用いることとした．特に本稿では，メタ学習とその他の適応手法の比較，Dropoutを含むモデルに関するメタ学習の影響について考察を行った結果を報告する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"332","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"331","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":215263,"updated":"2025-01-19T16:14:38.302373+00:00","links":{},"created":"2025-01-19T01:16:02.200236+00:00"}