{"updated":"2025-01-19T07:53:44.128702+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00240692","sets":["1:11380:11403"]},"path":["11403"],"owner":"44499","recid":"240692","title":["未来予測技術で何ができるの?:3.未来予測の不確実性 -深層学習における予測の不確実性とその応用-"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-11-15"},"_buckets":{"deposit":"3a6caecd-37ae-435d-8627-aba5a7f7ae56"},"_deposit":{"id":"240692","pid":{"type":"depid","value":"240692","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"未来予測技術で何ができるの?:3.未来予測の不確実性 -深層学習における予測の不確実性とその応用-","author_link":["660783","660782"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"未来予測技術で何ができるの?:3.未来予測の不確実性 -深層学習における予測の不確実性とその応用-"},{"subitem_title":"What Can Future Prediction Technology Do ?:Uncertainty in Predictions: Uncertainty in Deep Learning Predictions and Its Applications","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"特集","subitem_subject_scheme":"Other"}]},"item_type_id":"30","publish_date":"2024-11-15","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_30_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"京都大学"}]},"item_30_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Kyoto Univ.","subitem_text_language":"en"}]},"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/240692/files/IPSJ-O-MGN651203.pdf","label":"IPSJ-O-MGN651203.pdf"},"date":[{"dateType":"Available","dateValue":"2026-11-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-O-MGN651203.pdf","filesize":[{"value":"1.7 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"6026a7d2-b25e-4d14-aa6b-33a2d7544742","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_30_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"粟野, 皓光"}],"nameIdentifiers":[{}]}]},"item_30_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"AWANO, Hiromitsu","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"article"}]},"item_30_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116625","subitem_source_identifier_type":"NCID"}]},"item_30_publisher_14":{"attribute_name":"公開者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"item_30_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"予測には不確実性がつきものである.深層学習の性能の高さに注目が集まり,自動運転や医療診断等の重要な意思決定が求められる局面への応用も模索されつつある昨今,予測の不確実性は人的・社会的な損失に直結しかねない問題である.そこで,本解説では深層学習における不確実性の取り扱いと,不確実性を明示的に取り入れることの利点をいくつかの応用例を交えながら紹介する.","subitem_description_type":"Other"}]},"item_30_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"e21","bibliographic_titles":[{"bibliographic_title":"情報処理"}],"bibliographicPageStart":"e16","bibliographicIssueDates":{"bibliographicIssueDate":"2024-11-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"12","bibliographicVolumeNumber":"65"}]},"relation_version_is_last":true,"item_30_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.20729/00240572","subitem_identifier_reg_type":"JaLC"}]},"weko_creator_id":"44499"},"created":"2025-01-19T01:45:01.344404+00:00","id":240692,"links":{}}