{"created":"2025-01-19T01:06:24.460721+00:00","updated":"2025-01-19T20:19:52.301007+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00204089","sets":["1164:4619:10081:10166"]},"path":["10166"],"owner":"44499","recid":"204089","title":["分離定式化に基づく不確かさの推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-03-09"},"_buckets":{"deposit":"e79461a5-682e-462c-bc28-2512e950bfc1"},"_deposit":{"id":"204089","pid":{"type":"depid","value":"204089","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"分離定式化に基づく不確かさの推定","author_link":["504735","504738","504736","504737","504739"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"分離定式化に基づく不確かさの推定"}]},"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":"東京大学工学部"},{"subitem_text_value":"東京大学工学部"},{"subitem_text_value":"ワシントン大学コンピュータ科学専攻"},{"subitem_text_value":"日本電信電話株式会社"},{"subitem_text_value":"東京大学工学部"}]},"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/204089/files/IPSJ-CVIM20221022.pdf","label":"IPSJ-CVIM20221022.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM20221022.pdf","filesize":[{"value":"1.3 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"10513faf-180e-466d-9d29-98e0457a0b3f","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":"川島, 拓海"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"郁, 青"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"浅井, 明里"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伊神, 大貴"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"相澤, 清晴"}],"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":"深層学習による回帰のタスクでは，予測値が 1 つの値としてモデルから出力される．しかしその出力結果は必ずしも信頼できるものではなく，この一つの原因はデータに含まれる不確かさによるものである．この不確かさはターゲットの予測と同時にモデルの出力として予測することが可能である．しかし一般にモデルの誤差は訓練データにおいてはテストデータより小さくなってしまうため，既存手法では誤差を小さく推定してしまうといった問題が起こる．本研究ではその問題を解決する新たな手法を提案する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"2","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":"22","bibliographicVolumeNumber":"2020-CVIM-221"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":204089,"links":{}}