{"created":"2025-01-19T01:37:23.251426+00:00","updated":"2025-01-19T09:32:24.276068+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00235737","sets":["6504:11678:11697"]},"path":["11697"],"owner":"44499","recid":"235737","title":["VAEを用いた死亡率予測曲線の凹凸除去"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"311eae4d-d6dd-4c9a-9b49-d8113e526f21"},"_deposit":{"id":"235737","pid":{"type":"depid","value":"235737","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"VAEを用いた死亡率予測曲線の凹凸除去","author_link":["644209","644208","644206","644207"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"VAEを用いた死亡率予測曲線の凹凸除去"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ソフトウェア科学・工学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","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":"明大"},{"subitem_text_value":"明大"},{"subitem_text_value":"明大"},{"subitem_text_value":"明大"}]},"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/235737/files/IPSJ-Z86-1L-07.pdf","label":"IPSJ-Z86-1L-07.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-1L-07.pdf","filesize":[{"value":"384.8 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"aa21f4e1-9433-46ff-bdc6-816dca86b300","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"岩井, 桃佳"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"石曽根, 毅"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松山, 直樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中村, 和幸"}],"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":"本研究では，死亡率モデルであるLee-Carter(LC)モデルのVAE拡張で発生する不自然な凹凸を解消する手法を提案する．長寿リスクが問題視される昨今において，死亡率をモデリングし高い精度で予測することは生命保険や年金の文脈上で重要な研究課題とされている．先行研究ではLCモデルの可読性を保つVAE拡張が提案されたが，長期予測曲線に不自然な凹凸が見られることが課題に挙げられた．本研究で提案するモデルは，再構成した死亡率曲線の凹凸を定量化して損失関数を正則化することでこの課題にアプローチする．正則化された損失関数での学習の結果，予測曲線が滑らかさを獲得した．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"258","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"257","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":235737,"links":{}}