{"id":214695,"updated":"2025-01-19T16:30:41.790811+00:00","links":{},"created":"2025-01-19T01:15:29.890958+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214695","sets":["6504:10735:10805"]},"path":["10805"],"owner":"44499","recid":"214695","title":["非学習型確率層により多層化された制限ボルツマンマシン分類器の性能の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"2c204d6d-43c3-4697-8ba0-caa6512480a1"},"_deposit":{"id":"214695","pid":{"type":"depid","value":"214695","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"非学習型確率層により多層化された制限ボルツマンマシン分類器の性能の検討","author_link":["551941","551942"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"非学習型確率層により多層化された制限ボルツマンマシン分類器の性能の検討"}]},"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":"山形大"},{"subitem_text_value":"山形大"}]},"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/214695/files/IPSJ-Z83-2J-01.pdf","label":"IPSJ-Z83-2J-01.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-2J-01.pdf","filesize":[{"value":"275.6 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"4c9b0321-05c9-4941-90fb-91cd57880e5d","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":"菅野, 友理"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"安田, 宗樹"}],"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":"パターン認識問題を解くための分類器モデルである制限ボルツマンマシン分類器は，確率モデルである性質が故に，多層化拡張による学習を容易には行うことができない．それを回避するため，非学習型パラメータをもつ非学習型確率層の追加による制限ボルツマンマシン分類器の多層化法が提案されている．非学習型確率層における非学習型パラメータは，ガウシアン・ベルヌーイ制限ボルツマンマシンを用いた教師なし学習によって決定される．本講演では，多層化された制限ボルツマンマシン分類器を様々なデータセットに適用し，その性能を調べる．また，ガウシアン・ベルヌーイ制限ボルツマンマシンの学習法の工夫により，更なる性能向上を目指す．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"172","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"171","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}