{"created":"2023-05-15T11:58:53.082382+00:00","id":5080,"links":{},"metadata":{"_buckets":{"deposit":"b3ab543f-3758-42c2-ae87-388eff756b17"},"_deposit":{"created_by":3,"id":"5080","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"5080"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00005080","sets":["8:24"]},"author_link":["203"],"item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2009-08-14","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"92","bibliographicPageStart":"81","bibliographicVolumeNumber":"16","bibliographic_titles":[{"bibliographic_title":"日本神経回路学会誌"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This paper describes a method for improving the generalization performance by means of the out-of-bag estimate for the generalization error in regression problems. We analyze the effect of the size of bags from the viewpoint of piecewise linear prediction achieved by the CAN2 (competitive associative net). Here, the CAN2 basically is a neural net for learning efficient piecewise linear approximation of nonlinear functions. We also examine and validate the effectiveness via numerical experiments.","subitem_description_type":"Abstract"}]},"item_21_description_60":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Journal Article","subitem_description_type":"Other"}]},"item_21_publisher_7":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"日本神経回路学会"}]},"item_21_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"info:doi/10.3902/jnns.16.81","subitem_relation_type_select":"DOI"}}]},"item_21_relation_14":{"attribute_name":"情報源","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://doi.org/10.3902/jnns.16.81","subitem_relation_type_select":"DOI"}}]},"item_21_rights_13":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"日本神経回路学会"}]},"item_21_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_21_source_id_10":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11658570","subitem_source_identifier_type":"NCID"}]},"item_21_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1883-0455","subitem_source_identifier_type":"ISSN"},{"subitem_source_identifier":"1340-766X","subitem_source_identifier_type":"ISSN"}]},"item_21_text_36":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"九州工業大学大学院 工学研究院"}]},"item_21_text_63":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"851"}]},"item_21_version_type_58":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"Kurogi, Shuichi","creatorNameLang":"en"},{"creatorName":"黒木, 秀一","creatorNameLang":"ja"},{"creatorName":"クロギ, シュウイチ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-08-21"}],"displaytype":"detail","filename":"bnn_16_ 2_81_92.pdf","filesize":[{"value":"943.6 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"bnn_16_ 2_81_92.pdf","url":"https://kyutech.repo.nii.ac.jp/record/5080/files/bnn_16_ 2_81_92.pdf"},"version_id":"cdc4c2d6-db15-43f0-8083-f1f76cf4600f"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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":"バグサイズを可変とするバグ外推定による汎化能力向上","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"バグサイズを可変とするバグ外推定による汎化能力向上"}]},"item_type_id":"21","owner":"3","path":["24"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-08-21"},"publish_date":"2017-08-21","publish_status":"0","recid":"5080","relation_version_is_last":true,"title":["バグサイズを可変とするバグ外推定による汎化能力向上"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-10-25T06:04:25.892644+00:00"}