{"created":"2023-06-19T07:14:47.066817+00:00","id":2072,"links":{},"metadata":{"_buckets":{"deposit":"192dfc1a-f1e5-4c03-9194-d444a87542d0"},"_deposit":{"created_by":27,"id":"2072","owners":[27],"pid":{"revision_id":0,"type":"depid","value":"2072"},"status":"published"},"_oai":{"id":"oai:repo.lib.tut.ac.jp:00002072","sets":["9"]},"author_link":["3890","3844","3891","3846"],"control_number":"2072","item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-12","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"12","bibliographicPageEnd":"2191","bibliographicPageStart":"2184","bibliographicVolumeNumber":"E101-A","bibliographic_titles":[{"bibliographic_title":"IEICE transactions on fundamentals of electronics, communications and computer sciences"},{"bibliographic_title":"IEICE transactions on fundamentals of electronics, communications and computer sciences","bibliographic_titleLang":"en"}]}]},"item_10001_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Lasso regression based on the L1 regularization is one of the most popular sparse estimation methods. It is often required to set appropriately in advance the regularization parameter that determines the degree of regularization. Although the empirical Bayes approach provides an effective method to estimate the regularization parameter, its solution has yet to be fully investigated in the lasso regression model. In this study, we analyze the empirical Bayes estimator of the one-parameter model of lasso regression and show its uniqueness and its properties. Furthermore, we compare this estimator with that of the variational approximation, and its accuracy is evaluated.","subitem_description_type":"Abstract"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEICE 電子情報通信学会"}]},"item_10001_relation_14":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"DOI: 10.1587/transfun.E101.A.2184","subitem_relation_type_select":"DOI"}}]},"item_10001_relation_17":{"attribute_name":"関連サイト","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"IEICE Transactions Online トップ"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://www.ieice.org/jpn/books/transaction.html","subitem_relation_type_select":"URI"}},{"subitem_relation_name":[{"subitem_relation_name_text":"IEICE Transactions Online 当該論文掲載URL"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://search.ieice.org/bin/summary.php?id=e101-a_12_2184&category=A&year=2018&lang=E&abst=","subitem_relation_type_select":"URI"}}]},"item_10001_rights_15":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright © 2018 The Institute of Electronics, Information and Communication Engineers 出典：IEICE transactions on fundamentals of electronics, communications and computer sciences Vol.E101-A, No.12, pp.2184-2191, 2018 出版社版, 著者リポジトリ公開許諾済 "}]},"item_10001_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"09168508, 17451337","subitem_source_identifier_type":"ISSN"}]},"item_10001_version_type_20":{"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":[{"creatorNames":[{"creatorName":"吉田, 司"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"渡辺, 一帆"}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"Yoshida, Tsukasa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Watanabe, Kazuho","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-03-04"}],"displaytype":"detail","filename":"i17451337-E101-2184.pdf","filesize":[{"value":"843.7 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"i17451337-E101-2184.pdf","url":"https://repo.lib.tut.ac.jp/record/2072/files/i17451337-E101-2184.pdf"},"version_id":"32175e58-e915-4005-91d0-04500cf1a5e7"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"lasso regression","subitem_subject_scheme":"Other"},{"subitem_subject":"empirical Bayes","subitem_subject_scheme":"Other"},{"subitem_subject":"Laplace prior","subitem_subject_scheme":"Other"},{"subitem_subject":"local variational approximation","subitem_subject_scheme":"Other"},{"subitem_subject":"lasso regression","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"empirical Bayes","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Laplace prior","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"local variational approximation","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"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":"Empirical Bayes Estimation for L1 Regularization: A Detailed Analysis in the One-Parameter Lasso Model","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Empirical Bayes Estimation for L1 Regularization: A Detailed Analysis in the One-Parameter Lasso Model"},{"subitem_title":"Empirical Bayes Estimation for L1 Regularization: A Detailed Analysis in the One-Parameter Lasso Model","subitem_title_language":"en"}]},"item_type_id":"10001","owner":"27","path":["9"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2019-03-04"},"publish_date":"2019-03-04","publish_status":"0","recid":"2072","relation_version_is_last":true,"title":["Empirical Bayes Estimation for L1 Regularization: A Detailed Analysis in the One-Parameter Lasso Model"],"weko_creator_id":"27","weko_shared_id":-1},"updated":"2023-10-25T07:23:02.989247+00:00"}