{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229714","sets":["6504:11436:11438"]},"path":["11438"],"owner":"44499","recid":"229714","title":["超高精度グラフ畳み込みネットワークをオラクルとする無順序木パターンの質問学習モデル"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"8e7b4c9e-aaf4-498b-8c02-bbdd75fcb9c2"},"_deposit":{"id":"229714","pid":{"type":"depid","value":"229714","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"超高精度グラフ畳み込みネットワークをオラクルとする無順序木パターンの質問学習モデル","author_link":["617904","617903","617901","617902"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"超高精度グラフ畳み込みネットワークをオラクルとする無順序木パターンの質問学習モデル"}]},"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":"2023-02-16","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":"福岡工大"},{"subitem_text_value":"福岡工大"},{"subitem_text_value":"広島市大"},{"subitem_text_value":"東海大"}]},"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/229714/files/IPSJ-Z85-4M-06.pdf","label":"IPSJ-Z85-4M-06.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-4M-06.pdf","filesize":[{"value":"420.0 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"f7e7ba9c-f11c-4099-be4b-cc544d14418e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"石灘, 洸樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"正代, 隆義"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"内田, 智之"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松本, 哲志"}],"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":"質問学習モデルはAngluin(1988)により提案された計算論的学習理論における機械学習モデルの一つである。質問学習モデルは、常に正答を返す教師(オラクルと呼ぶ)を仮定して機械学習における計算量などの解析を行うモデルである。一方、最近の小田ら(2022)の研究では、木構造データベースに対する二値分類問題を著しく高い精度で計算するグラフ畳み込みネットワーク(GCN)が報告されている。本発表では、超高精度GCNをオラクルとする無順序木パターンの質問学習モデルを提案する。そして、そのモデル上で(1)二値分類問題、(2)無矛盾性問題、(3)可視化問題の3つの問題の精度を評価する。それにより、超高精度GCNをオラクルとする質問学習手法の有効性を示す。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"374","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"373","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":229714,"updated":"2025-01-19T11:26:57.370207+00:00","links":{},"created":"2025-01-19T01:29:02.265508+00:00"}