{"id":196752,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00196752","sets":["6504:9795:9801"]},"path":["9801"],"owner":"6748","recid":"196752","title":["異常値を考慮したアンサンブルフィルタの設計"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-02-28"},"_buckets":{"deposit":"2b3fd0ed-3159-4b63-9a35-d8c6c1c7f41a"},"_deposit":{"id":"196752","pid":{"type":"depid","value":"196752","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"異常値を考慮したアンサンブルフィルタの設計","author_link":["471192"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"異常値を考慮したアンサンブルフィルタの設計"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2019-02-28","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":"NHNテコラス"}]},"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/196752/files/IPSJ-Z81-2D-04.pdf","label":"IPSJ-Z81-2D-04.pdf"},"date":[{"dateType":"Available","dateValue":"2019-05-28"}],"format":"application/pdf","filename":"IPSJ-Z81-2D-04.pdf","filesize":[{"value":"362.3 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"221707f8-f6e8-4eb6-afa5-218575e05f9d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"佐藤, 哲"}],"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":"確率密度分布を実現値で近似するアンサンブルフィルタは，複雑な確率分布を表現可能な汎用性を持つ一方，想定されたモデルで表現することが難しい異常値が観測された場合，追跡能力が低下することが避けられない．そのため，外れ値を検出するフィルタリング手法が提案されているが，外れ値の検出精度と追跡精度の両立が課題である．そこで本研究では，実現値の集合を蓄積し，幾何的に解析することで，大きな外れ値が混入した場合でも通常の追跡精度を保つ手法を提案する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"52","bibliographic_titles":[{"bibliographic_title":"第81回全国大会講演論文集"}],"bibliographicPageStart":"51","bibliographicIssueDates":{"bibliographicIssueDate":"2019-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2019"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"updated":"2025-01-19T22:37:21.394288+00:00","created":"2025-01-19T01:01:15.516383+00:00","links":{}}