{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T08:56:45Z","timestamp":1740128205967,"version":"3.37.3"},"reference-count":28,"publisher":"Informa UK Limited","issue":"1","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61472157,61602204,61672261"],"award-info":[{"award-number":["61472157,61602204,61672261"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Journal of Experimental &amp; Theoretical Artificial Intelligence"],"published-print":{"date-parts":[[2018,1,2]]},"DOI":"10.1080\/0952813x.2017.1409277","type":"journal-article","created":{"date-parts":[[2017,12,6]],"date-time":"2017-12-06T00:45:16Z","timestamp":1512521116000},"page":"129-142","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":3,"title":["Empirical study on variational inference methods for topic models"],"prefix":"10.1080","volume":"30","author":[{"given":"Jinjin","family":"Chi","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Jilin University, Changchun, China."},{"name":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jihong","family":"Ouyang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Jilin University, Changchun, China."},{"name":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ximing","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Jilin University, Changchun, China."},{"name":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changchun","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Jilin University, Changchun, China."},{"name":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"301","published-online":{"date-parts":[[2017,12,5]]},"reference":[{"volume-title":"Approximate mean field for dirichlet-based models","year":"2010","author":"Asuncion A.","key":"CIT0001"},{"key":"CIT0002","unstructured":"Asuncion, A., Welling, M., Smyth, P. & Teh, Y. W. (2009). On smoothing and inference for topic models. In International Conference on Uncertainty in Artificial Intelligence (pp. 27\u201334). Montreal, QC, Canada: AUAI Press."},{"volume-title":"Variational algorithms for approximate Bayesian inference","year":"2003","author":"Beal M. J.","key":"CIT0003"},{"volume-title":"Proofs of alpha divergence properties","year":"2008","author":"Beirami A.","key":"CIT0004"},{"volume-title":"Pattern recognition and machine learning","year":"2006","author":"Bishop C. M.","key":"CIT0005"},{"key":"CIT0006","doi-asserted-by":"publisher","DOI":"10.1145\/2133806.2133826"},{"key":"CIT0007","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2017.1285773"},{"journal-title":"Text Mining: Classification, Clustering, and Applications","year":"2009","author":"Blei D. M.","key":"CIT0008"},{"key":"CIT0009","doi-asserted-by":"publisher","DOI":"10.1162\/jmlr.2003.3.4-5.993"},{"key":"CIT0010","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-05224-8_6"},{"key":"CIT0011","unstructured":"Buntine, W. & Jakulin, A. (2004). Applying discrete PCA in data analysis. In Proceedings of the 20th conference on Uncertainty in artificial intelligence (pp. 59\u201366). Banff, Canada: AUAI Press."},{"key":"CIT0012","first-page":"288","author":"Chang J.","year":"2009","journal-title":"Advances in neural information processing systems"},{"key":"CIT0013","first-page":"1441","author":"Giordano R. J.","year":"2015","journal-title":"Advances in Neural Information Processing Systems"},{"key":"CIT0014","first-page":"5228","volume":"101","author":"Griffiths T. L.","year":"2004","journal-title":"Finding scientific topics"},{"key":"CIT0015","first-page":"362","volume":"3","author":"Mimno D.","year":"2012","journal-title":"International Conference on Machine Learning"},{"key":"CIT0016","unstructured":"Minka, T. P. (2001). Expectation propagation for approximate bayesian inference. In Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence (pp. 362\u2013369). Seattle, Washington, USA: Morgan Kaufmann Publishers."},{"key":"CIT0017","first-page":"115","volume":"39","author":"Minka T. P.","year":"2003","journal-title":"In UAI-2002"},{"volume-title":"Divergence measures and message passing","year":"2005","author":"Minka T. P.","key":"CIT0018"},{"key":"CIT0019","unstructured":"Minka, T. P. & Lafferty, J. (2002). Expectation-propagation for the generative aspect model. In Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence (pp. 352\u2013359). Edmonton, Canada: Morgan Kaufmann Publishers."},{"key":"CIT0020","first-page":"1","author":"Newman D.","year":"2009","journal-title":"Australasian Document Computing Symposium"},{"key":"CIT0021","unstructured":"Newman, D., Lau, J. H., Grieser, K. & Baldwin, T. (2010). Automatic evaluation of topic coherence. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics (pp. 100\u2013108).  Los Angeles, California, USA: Association for Computational Linguistics."},{"key":"CIT0022","first-page":"999","author":"Sato I.","year":"2012","journal-title":"Proceedings of the International Conference on Machine Learning"},{"key":"CIT0023","first-page":"424","volume":"427","author":"Steyvers M.","year":"2007","journal-title":"Handbook of Latent Semantic Analysis"},{"key":"CIT0024","first-page":"1481","author":"Teh Y. W.","year":"2007","journal-title":"Collapsed variational inference for hdp"},{"key":"CIT0025","first-page":"1353","author":"Teh Y. W.","year":"2006","journal-title":"Advances in neural information processing systems"},{"volume-title":"Structured topic models for language (PhD thesis)","year":"2008","author":"Wallach H. M.","key":"CIT0026"},{"key":"CIT0027","first-page":"1973","author":"Wallach H. M.","year":"2009","journal-title":"Rethinking lda: Why priors matter"},{"key":"CIT0028","first-page":"1105","author":"Wallach H. M.","year":"2009","journal-title":"Evaluation methods for topic models"}],"container-title":["Journal of Experimental &amp; Theoretical Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/0952813X.2017.1409277","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,1,3]],"date-time":"2018-01-03T03:46:21Z","timestamp":1514951181000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/0952813X.2017.1409277"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12,5]]},"references-count":28,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2017,12,15]]},"published-print":{"date-parts":[[2018,1,2]]}},"alternative-id":["10.1080\/0952813X.2017.1409277"],"URL":"https:\/\/doi.org\/10.1080\/0952813x.2017.1409277","relation":{},"ISSN":["0952-813X","1362-3079"],"issn-type":[{"type":"print","value":"0952-813X"},{"type":"electronic","value":"1362-3079"}],"subject":[],"published":{"date-parts":[[2017,12,5]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=teta20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=teta20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"}]}}