{"created":"2023-05-15T11:59:32.922274+00:00","id":6021,"links":{},"metadata":{"_buckets":{"deposit":"269711c8-7892-45df-8cf5-b9c0dc459e6c"},"_deposit":{"created_by":3,"id":"6021","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"6021"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00006021","sets":["8:24"]},"author_link":["24664","24661","24663","24662"],"item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2019-05-07","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicPageStart":"95","bibliographicVolumeNumber":"12","bibliographic_titles":[{"bibliographic_title":"Algorithms"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Transfer learning aims for high accuracy by applying knowledge of source domains for which data collection is easy in order to target domains where data collection is difficult, and has attracted attention in recent years because of its significant potential to enable the application of machine learning to a wide range of real-world problems. However, since the technique is user-dependent, with data prepared as a source domain which in turn becomes a knowledge source for transfer learning, it often involves the adoption of inappropriate data. In such cases, the accuracy may be reduced due to “negative transfer.” Thus, in this paper, we propose a novel transfer learning method that utilizes the flipping output technique to provide multiple labels in the source domain. The accuracy of the proposed method is statistically demonstrated to be significantly better than that of the conventional transfer learning method, and its effect size is as high as 0.9, showing high performance.","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":"MDPI"}]},"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/10.3390/a12050095","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":"https://doi.org/10.3390/a12050095","subitem_relation_type_select":"DOI"}}]},"item_21_rights_13":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"The authors"}]},"item_21_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_21_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1999-4893","subitem_source_identifier_type":"ISSN"}]},"item_21_subject_16":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"548","subitem_subject_scheme":"NDC"}]},"item_21_text_36":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Advanced Manufacturing Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Saga 841-0052, Japan"},{"subitem_text_value":"Advanced Manufacturing Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Saga 841-0052, Japan"},{"subitem_text_value":"Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology (Kyutech), Fukuoka 808-0196, Japan"}]},"item_21_text_63":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"7778"}]},"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":[{"creatorNames":[{"creatorName":"Koishi,  Yasutake"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ishida,  Shuichi"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tabaru,  Tatsuo"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiroyuki,  Miyamoto"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-06-19"}],"displaytype":"detail","filename":"a12050095.pdf","filesize":[{"value":"501.5 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"a12050095.pdf","url":"https://kyutech.repo.nii.ac.jp/record/6021/files/a12050095.pdf"},"version_id":"4ab6206e-702a-4ec1-80f8-4ff785e01b19"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"transfer learning","subitem_subject_scheme":"Other"},{"subitem_subject":"ensemble learning","subitem_subject_scheme":"Other"},{"subitem_subject":"data expansion","subitem_subject_scheme":"Other"},{"subitem_subject":"flipping output","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":"A Source Domain Extension Method for Inductive Transfer Learning Based on Flipping Output","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A Source Domain Extension Method for Inductive Transfer Learning Based on Flipping Output"}]},"item_type_id":"21","owner":"3","path":["24"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-06-19"},"publish_date":"2019-06-19","publish_status":"0","recid":"6021","relation_version_is_last":true,"title":["A Source Domain Extension Method for Inductive Transfer Learning Based on Flipping Output"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-10-18T09:07:30.496539+00:00"}