{"created":"2021-03-01T07:25:25.787411+00:00","id":45601,"links":{},"metadata":{"_buckets":{"deposit":"6ab650d7-fa20-4c35-89f0-98b7c690c2d8"},"_deposit":{"id":"45601","owners":[],"pid":{"revision_id":0,"type":"depid","value":"45601"},"status":"published"},"_oai":{"id":"oai:tsukuba.repo.nii.ac.jp:00045601","sets":["117:1697","117:786","3:62:5592:629"]},"item_5_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2017-12","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"100","bibliographicPageStart":"88","bibliographicVolumeNumber":"191","bibliographic_titles":[{"bibliographic_title":" Journal of statistical planning and inference  "}]}]},"item_5_creator_3":{"attribute_name":"著者別名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"青嶋, 誠"}],"nameIdentifiers":[{},{},{}]},{"creatorNames":[{"creatorName":"矢田, 和善"}],"nameIdentifiers":[{},{},{}]}]},"item_5_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In this paper, we consider asymptotic properties of the support vector machine (SVM) in high-dimension, low-sample-size (HDLSS) settings. We show that the hard-margin linear SVM holds a consistency property in which misclassification rates tend to zero as the dimension goes to infinity under certain severe conditions. We show that the SVM is very biased in HDLSS settings and its performance is affected by the bias directly. In order to overcome such difficulties, we propose a bias-corrected SVM (BC-SVM). We show that the BC-SVM gives preferable performances in HDLSS settings. We also discuss the SVMs in multiclass HDLSS settings. Finally, we check the performance of the classifiers in actual data analyses.","subitem_description_type":"Abstract"}]},"item_5_publisher_27":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Elsevier"}]},"item_5_relation_11":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1016/j.jspi.2017.05.005","subitem_relation_type_select":"DOI"}}]},"item_5_rights_12":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ "}]},"item_5_select_15":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"author"}]},"item_5_source_id_7":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"03783758","subitem_source_identifier_type":"ISSN"}]},"item_5_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA00253748 ","subitem_source_identifier_type":"NCID"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Nakayama, Yugo"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yata, Kazuyoshi"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Aoshima, Makoto"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-12-01"}],"displaytype":"detail","filename":"JSPI_191.pdf","filesize":[{"value":"2.5 MB"}],"format":"application/pdf","licensetype":"license_11","mimetype":"application/pdf","url":{"label":"JSPI_191","url":"https://tsukuba.repo.nii.ac.jp/record/45601/files/JSPI_191.pdf"},"version_id":"d0aec583-9466-4243-9056-cad450a0902c"}]},"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":"Support vector machine and its bias correction in high-dimension, low-sample-size settings","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Support vector machine and its bias correction in high-dimension, low-sample-size settings"}]},"item_type_id":"5","owner":"1","path":["786","1697","629"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-03-09"},"publish_date":"2018-03-09","publish_status":"0","recid":"45601","relation_version_is_last":true,"title":["Support vector machine and its bias correction in high-dimension, low-sample-size settings"],"weko_creator_id":"1","weko_shared_id":5},"updated":"2022-04-27T09:17:14.012473+00:00"}