{"created":"2025-01-19T01:36:48.440711+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00234913","sets":["1164:2735:11468:11669"]},"path":["11669"],"owner":"44499","recid":"234913","title":["MDL原理に基づく双曲空間上のガウス混合分布のモデル選択"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-06-13"},"_buckets":{"deposit":"869523cb-ae6c-410e-b612-4fb1bb6c8347"},"_deposit":{"id":"234913","pid":{"type":"depid","value":"234913","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"MDL原理に基づく双曲空間上のガウス混合分布のモデル選択","author_link":["641064","641067","641069","641066","641068","641065"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"MDL原理に基づく双曲空間上のガウス混合分布のモデル選択"},{"subitem_title":"Model selection of Gaussian mixture model on hyperbolic space based on MDL principle","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"情報論的学習理論と機械学習3","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-06-13","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京大学"},{"subitem_text_value":"King’s College London"},{"subitem_text_value":"東京大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"King’s College London","subitem_text_language":"en"},{"subitem_text_value":"The University of Tokyo","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/234913/files/IPSJ-MPS24148026.pdf","label":"IPSJ-MPS24148026.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS24148026.pdf","filesize":[{"value":"2.0 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"c4297c54-00ad-4dfc-be2d-2d79bca6d2d7","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"福澤, 康太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"鈴木, 惇"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山西, 健司"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kota, Fukuzawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Atsushi, Suzuki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kenji, Yamanishi","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8833","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，グラフ埋め込みに適した潜在空間として双曲空間が注目されている．本研究では，双曲空間上に配置されたデータにガウス混合モデル (Gaussian Mixture model: GMM) をあてはめる場合のモデル選択の規準を提案する．本規準は MDL(Minimum Description Length) 原理に基づき，データ圧縮の観点から双曲空間上の GMM の混合数として最良の値を決定する．本研究では，双曲空間上の GMM の正規化最尤符号長の計算法を初めて導出し，人工データを用いた実験的結果により提案規準の有効性を示す．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-06-13","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"26","bibliographicVolumeNumber":"2024-MPS-148"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":234913,"updated":"2025-01-19T09:40:21.826941+00:00","links":{}}