{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214823","sets":["6504:10735:10808"]},"path":["10808"],"owner":"44499","recid":"214823","title":["変数の分布に着目した特徴量生成方法及びそれに適した機械学習方式の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"8748cb9f-8c14-4f72-bc04-d2d4a61a9152"},"_deposit":{"id":"214823","pid":{"type":"depid","value":"214823","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"変数の分布に着目した特徴量生成方法及びそれに適した機械学習方式の検討","author_link":["552810"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"変数の分布に着目した特徴量生成方法及びそれに適した機械学習方式の検討"}]},"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":"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":"日立"}]},"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/214823/files/IPSJ-Z83-5C-03.pdf","label":"IPSJ-Z83-5C-03.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-5C-03.pdf","filesize":[{"value":"700.3 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"187fe006-e0f9-4b97-a1f5-cd65af034fa6","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":"高田, 晋太郎"}],"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":"機械学習によって得られた予測モデルにおいて、予測精度向上のための方法論が従来より研究されている。また、近年では機械学習技術をベースとしたビジネスが盛んであり、実世界で起こる現象や出来事に関するデータを対象とする機会が多くなっている。本研究では、実環境でのデータに見られるような特殊な分布（例えば正規分布など一般的に知られている分布とは異なる分布）を持つ変数を含む学習データに対して有効な予測精度向上方法の検討を行った。本報では、元となるデータの各変数の分布に着目した特徴量生成方法と、そのようにして生成された特徴量を用いてより高精度な予測モデルを学習可能な学習方法について検討した結果を報告する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"34","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"33","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":214823,"updated":"2025-01-19T16:27:02.554377+00:00","links":{},"created":"2025-01-19T01:15:37.138754+00:00"}