{"updated":"2025-01-19T16:31:38.966126+00:00","links":{},"created":"2025-01-19T01:15:27.983031+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214661","sets":["6504:10735:10805"]},"path":["10805"],"owner":"44499","recid":"214661","title":["グリーン関数理論に基づく共分散行列のガウス過程回帰への応用"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"18a357be-f1a5-4fd3-80f3-560ffe7aa335"},"_deposit":{"id":"214661","pid":{"type":"depid","value":"214661","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"グリーン関数理論に基づく共分散行列のガウス過程回帰への応用","author_link":["551848"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"グリーン関数理論に基づく共分散行列のガウス過程回帰への応用"}]},"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":"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":"工学院大"}]},"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/214661/files/IPSJ-Z83-1B-01.pdf","label":"IPSJ-Z83-1B-01.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-1B-01.pdf","filesize":[{"value":"796.6 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"72c5a1de-8527-4b55-8581-df1657ad2ba7","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":"永井, 朋子"}],"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":"　機械学習のカーネル法と線形微分方程式の初期値問題における基本解（再生核）との対応が指摘された。また、線形微分方程式の境界値問題のグリーン関数が再生核であることが証明されている。本研究では物理・工学的に重要なグリーン関数理論に基づく新しい回帰アルゴリズムを開発した。　2階線形常微分方程式のディリクレ境界条件での境界値問題のグリーン関数を規格化し、ガウス過程回帰における共分散行列のカーネル関数として提案する。この共分散行列を用いて、ベイズ推定に基づくガウス過程回帰の枠組みにより、観測データからの条件付分布として予測分布を求める。カスプの存在する場合に、広く利用されるガウスカーネルより、精度のよい結果が得られた。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"104","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"103","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":214661}