{"created":"2023-06-20T12:59:58.409811+00:00","id":4045,"links":{},"metadata":{"_buckets":{"deposit":"4af95d54-5661-4cde-80e1-3debaa174bbe"},"_deposit":{"created_by":2,"id":"4045","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"4045"},"status":"published"},"_oai":{"id":"oai:fun.repo.nii.ac.jp:00004045","sets":["22:28","25:81:101"]},"author_link":["7271","7270","95","7269"],"item_5_biblio_info_5":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2004","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"1481","bibliographicPageStart":"1437","bibliographicVolumeNumber":"16","bibliographic_titles":[{"bibliographic_title":"Neural Computation"}]}]},"item_5_description_3":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"ブースティングアルゴリズムの導出をブレグマン擬距離の逐次最小化問題として定式化し, アダブーストを一般化したU-ブーストを提案した.U-ブーストの中で,最適な判別ルールに対して一致性のあるクラスと,それに対応する統計モデルの関係を導き,推定量の効率,ロバスト性等の統計的性質を明らかにした.アルゴリズムの情報幾何的な描像を明らかにしたことで,過学習などのブースティングアルゴリズムの性質についての直感的な解釈が可能となった.","subitem_description_type":"Abstract"}]},"item_5_publisher_17":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"MIT Press"}]},"item_5_select_10":{"attribute_name":"単著共著","attribute_value_mlt":[{"subitem_select_item":"共著/joint"}]},"item_5_select_8":{"attribute_name":"査読有無","attribute_value_mlt":[{"subitem_select_item":"あり/yes"}]},"item_5_select_9":{"attribute_name":"研究業績種別","attribute_value_mlt":[{"subitem_select_item":"原著論文/Original Paper"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"metadata only access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_14cb"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Murata, Noboru"}],"nameIdentifiers":[{"nameIdentifier":"7269","nameIdentifierScheme":"WEKO"}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":"","affiliationNameIdentifierScheme":"ISNI","affiliationNameIdentifierURI":"http://www.isni.org/isni/"}],"affiliationNames":[{"affiliationName":"","affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"竹之内, 高志","creatorNameLang":"ja"}],"familyNames":[{"familyName":"竹之内","familyNameLang":"ja"}],"givenNames":[{"givenName":"高志","givenNameLang":"ja"}],"nameIdentifiers":[{"nameIdentifier":"95","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"50403340","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://kaken.nii.ac.jp/ja/search/?qm=50403340"}]},{"creatorNames":[{"creatorName":"Kanamori, Takafumi"}],"nameIdentifiers":[{"nameIdentifier":"7270","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Eguchi, Shinto"}],"nameIdentifiers":[{"nameIdentifier":"7271","nameIdentifierScheme":"WEKO"}]}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Information geometry of U-Boost and Bregman divergence.","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Information geometry of U-Boost and Bregman divergence."}]},"item_type_id":"5","owner":"2","path":["28","101"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-04-15"},"publish_date":"2013-04-15","publish_status":"0","recid":"4045","relation_version_is_last":true,"title":["Information geometry of U-Boost and Bregman divergence."],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2025-02-07T05:09:08.284463+00:00"}