{"created":"2023-05-15T11:59:21.064214+00:00","id":5725,"links":{},"metadata":{"_buckets":{"deposit":"ffb285f7-6777-426a-b3d9-021cf1b3a30a"},"_deposit":{"created_by":3,"id":"5725","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"5725"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00005725","sets":["15:20"]},"author_link":["203","23221","23218","15851"],"item_23_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2017-12-01","bibliographicIssueDateType":"Issued"},"bibliographic_titles":[{"bibliographic_title":"2017 IEEE Symposium Series on Computational Intelligence (SSCI)"}]}]},"item_23_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Recently, we have presented a method of ensemble prediction of chaotic time series. The method employs strong learners capable of making predictions with small error, where usual ensemble mean does not work well owing to the long term unpredictability of chaotic time series. Thus, we have developed a method to select a representative prediction from a set of plausible predictions by means of using LOOCV (leave-one-out cross-validation) measure to estimate predictable horizon. Although we have shown the effectiveness of the method, it sometimes fails to select the representative prediction with long predictable horizon. In order to cope with this problem, this paper presents a method to select multiple candidates of representative prediction by means of employing hierarchical K-means clustering with K = 2. From numerical experiments, we show the effectiveness of the method and an analysis of the property of LOOCV predictable horizon.","subitem_description_type":"Abstract"}]},"item_23_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"The 2017 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017), November 27 to December 1, 2017, Honolulu, Hawaii, USA","subitem_description_type":"Other"}]},"item_23_description_60":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Conference Paper","subitem_description_type":"Other"}]},"item_23_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"affiliations":[{"affiliationNames":[{"affiliationName":"","lang":"ja"}],"nameIdentifiers":[]}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{"nameIdentifier":"203","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"40178124","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://nrid.nii.ac.jp/ja/nrid/1000040178124"},{"nameIdentifier":"6603344371","nameIdentifierScheme":"Scopus著者ID","nameIdentifierURI":"https://www.scopus.com/authid/detail.uri?authorId=6603344371"}],"names":[{"name":"Kurogi, Shuichi","nameLang":"en"},{"name":"黒木, 秀一","nameLang":"ja"},{"name":"クロギ, シュウイチ","nameLang":"ja-Kana"}]},{"nameIdentifiers":[{"nameIdentifier":"23221","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Shimoda,  N."}]},{"affiliations":[{"affiliationNames":[{"affiliationName":"","lang":"ja"}],"nameIdentifiers":[]}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{"nameIdentifier":"15851","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"50612165","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://nrid.nii.ac.jp/ja/nrid/1000050612165"},{"nameIdentifier":"24605819100","nameIdentifierScheme":"Scopus著者ID","nameIdentifierURI":"https://www.scopus.com/authid/detail.uri?authorId=24605819100"},{"nameIdentifier":"100000803","nameIdentifierScheme":"九工大研究者情報","nameIdentifierURI":"https://hyokadb02.jimu.kyutech.ac.jp/html/100000803_ja.html"}],"names":[{"name":"Matsuo, Kazuya","nameLang":"en"},{"name":"松尾, 一矢","nameLang":"ja"},{"name":"マツオ, カズヤ","nameLang":"ja-Kana"}]}]},"item_23_link_61":{"attribute_name":"研究者情報","attribute_value_mlt":[{"subitem_link_url":"https://hyokadb02.jimu.kyutech.ac.jp/html/12_ja.html"}]},"item_23_publisher_7":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEEE"}]},"item_23_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1109/SSCI.2017.8285285","subitem_relation_type_select":"DOI"}}]},"item_23_rights_13":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright (c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works."}]},"item_23_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_23_text_28":{"attribute_name":"論文ID（連携）","attribute_value_mlt":[{"subitem_text_value":"10324508"}]},"item_23_text_37":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Department of Control Engineering, Kyushu Institute of Technology, Kitakyushu, Japan"},{"subitem_text_value":"Department of Control Engineering, Kyushu Institute of Technology, Kitakyushu, Japan"},{"subitem_text_value":"Department of Control Engineering, Kyushu Institute of Technology, Kitakyushu, Japan"}]},"item_23_text_62":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"7183"}]},"item_23_version_type_58":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":"","affiliationNameLang":"ja"}]}],"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":[{},{},{}]},{"creatorNames":[{"creatorName":"Shimoda,  Naoto"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":"","affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"Matsuo, Kazuya","creatorNameLang":"en"},{"creatorName":"松尾, 一矢","creatorNameLang":"ja"},{"creatorName":"マツオ, カズヤ","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":"2018-10-02"}],"displaytype":"detail","filename":"ssci17timeseries.pdf","filesize":[{"value":"2.1 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"ssci17timeseries.pdf","url":"https://kyutech.repo.nii.ac.jp/record/5725/files/ssci17timeseries.pdf"},"version_id":"3104dd43-8ce2-4acf-9c60-df15b3be6109"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"hierarchical clustering of predictions","subitem_subject_scheme":"Other"},{"subitem_subject":"ensemble prediction of chaotic time series","subitem_subject_scheme":"Other"},{"subitem_subject":"leave-one-out predictable horizon","subitem_subject_scheme":"Other"},{"subitem_subject":"long-term unpredictability","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":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"Hierarchical Clustering of Ensemble Prediction Using LOOCV Predictable Horizon for Chaotic Time Series","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Hierarchical Clustering of Ensemble Prediction Using LOOCV Predictable Horizon for Chaotic Time Series"}]},"item_type_id":"23","owner":"3","path":["20"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-10-02"},"publish_date":"2018-10-02","publish_status":"0","recid":"5725","relation_version_is_last":true,"title":["Hierarchical Clustering of Ensemble Prediction Using LOOCV Predictable Horizon for Chaotic Time Series"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-10-25T07:00:54.481378+00:00"}