{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00174500","sets":["1164:3500:8470:8900"]},"path":["8900"],"owner":"11","recid":"174500","title":["確率的データストリームにおける情報利得を用いたパターン照合手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-09-06"},"_buckets":{"deposit":"ae8e9dd1-65b6-4b7f-a067-b36792d0b205"},"_deposit":{"id":"174500","pid":{"type":"depid","value":"174500","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"確率的データストリームにおける情報利得を用いたパターン照合手法","author_link":["359484","359485"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"確率的データストリームにおける情報利得を用いたパターン照合手法"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"パターン，機械学習","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2016-09-06","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"名古屋大学大学院情報科学研究科"},{"subitem_text_value":"名古屋大学大学院情報科学研究科"}]},"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/174500/files/IPSJ-IFAT16123005.pdf","label":"IPSJ-IFAT16123005.pdf"},"date":[{"dateType":"Available","dateValue":"2018-09-06"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-IFAT16123005.pdf","filesize":[{"value":"1.5 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"39"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"f24180f6-9714-408f-b17e-c3c2aec01064","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2016 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"杉浦, 健人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"石川, 佳治"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10114171","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":"2188-8884","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年では大量のセンシングデータを収集し，機械学習技術を用いてそれらを解析する動きが盛んである．センシングデータを機械学習により解析したとき，結果は不確実性を含む確率的データストリームとなる．そこで，本稿では確率的データストリームに対してパターン照合を適用し，適切な照合結果 （ マッチ ） の取得を目指す．確率的データストリームでは，クリーネ閉包を含むパターンを照合したとき，単純に確率の大きいマッチを検出するだけでは適切なマッチが得られない点が問題となる．本稿ではマッチの適切さを表す指標としてマッチの情報利得を定義し，情報利得を最大化することで適切なマッチを検出する手法を提案する．また，no-overlap セマンティクスを用いることで，Viterbi アルゴリズムにより効率的なパターン照合が行えることを示す．最後に，実データ及び人工データに基づく実験により，提案手法の有効性と効率性を示す．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告情報基礎とアクセス技術（IFAT）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2016-09-06","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicVolumeNumber":"2016-IFAT-123"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"updated":"2025-01-20T06:39:50.506559+00:00","created":"2025-01-19T00:44:41.666585+00:00","id":174500}