{"created":"2023-05-15T16:34:12.253990+00:00","id":6724,"links":{},"metadata":{"_buckets":{"deposit":"9a16d7e1-72c9-43c0-bb8a-70683504a633"},"_deposit":{"created_by":2,"id":"6724","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"6724"},"status":"published"},"_oai":{"id":"oai:nagasaki-u.repo.nii.ac.jp:00006724","sets":["14:65"]},"author_link":["28279","28278"],"item_9_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2013-07","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"454","bibliographicPageStart":"445","bibliographicVolumeNumber":"7952","bibliographic_titles":[{"bibliographic_title":"Lecture Notes in Computer Science"}]}]},"item_9_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In this paper, we provide a revised inference for correlated topic model (CTM) [3]. CTM is proposed by Blei et al. for modeling correlations among latent topics more expressively than latent Dirichlet allocation (LDA) [2] and has been attracting attention of researchers. However, we have found that the variational inference of the original paper is unstable due to almost-singularity of the covariance matrix when the number of topics is large. This means that we may be reluctant to use CTM for analyzing a large document set, which may cover a rich diversity of topics. Therefore, we revise the inference and improve its quality. First, we modify the formula for updating the covariance matrix in a manner that enables us to recover the original inference by adjusting a parameter. Second, we regularize posterior parameters for reducing a side effect caused by the formula modification. While our method is based on a heuristic intuition, an experiment conducted on large document sets showed that it worked effectively in terms of perplexity.","subitem_description_type":"Abstract"}]},"item_9_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"10th International Symposium on Neural Networks, ISNN 2013; Dalian; China; 4 July 2013 through 6 July 2013","subitem_description_type":"Other"}]},"item_9_description_63":{"attribute_name":"引用","attribute_value_mlt":[{"subitem_description":"Lecture Notes in Computer Science, 7952, pp.445-454; 2013","subitem_description_type":"Other"}]},"item_9_publisher_33":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Springer Verlag"}]},"item_9_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1007/978-3-642-39068-5_54","subitem_relation_type_select":"DOI"}}]},"item_9_rights_13":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© 2013 Springer-Verlag Berlin Heidelberg."}]},"item_9_source_id_7":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"03029743","subitem_source_identifier_type":"ISSN"}]},"item_9_source_id_8":{"attribute_name":"EISSN","attribute_value_mlt":[{"subitem_source_identifier":"16113349","subitem_source_identifier_type":"ISSN"}]},"item_9_version_type_16":{"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":[{"creatorNames":[{"creatorName":"Masada, Tomonari"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takasu, Atsuhiro"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-12-21"}],"displaytype":"detail","filename":"LNCS7952_445.pdf","filesize":[{"value":"1.8 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"LNCS7952_445.pdf","url":"https://nagasaki-u.repo.nii.ac.jp/record/6724/files/LNCS7952_445.pdf"},"version_id":"4aef9a23-eb7e-4754-8923-c42aec43b5e5"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"covariance matrix","subitem_subject_scheme":"Other"},{"subitem_subject":"Topic models","subitem_subject_scheme":"Other"},{"subitem_subject":"variational inference","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":"A Revised Inference for Correlated Topic Model","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A Revised Inference for Correlated Topic Model"}]},"item_type_id":"9","owner":"2","path":["65"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-08-01"},"publish_date":"2014-08-01","publish_status":"0","recid":"6724","relation_version_is_last":true,"title":["A Revised Inference for Correlated Topic Model"],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2023-05-16T02:39:15.462989+00:00"}