{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T19:55:34Z","timestamp":1760385334719,"version":"3.37.3"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2014,3,1]],"date-time":"2014-03-01T00:00:00Z","timestamp":1393632000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"National Key Project for Basic Research of China","award":["2013CB329403","2012CB316301"],"award-info":[{"award-number":["2013CB329403","2012CB316301"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61210013","61273023"],"award-info":[{"award-number":["61210013","61273023"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Tsinghua Self-innovation Project","award":["20121088071","20111081111"],"award-info":[{"award-number":["20121088071","20111081111"]}]},{"name":"China Post-Doctoral Science Foundation","award":["2013T60117","2012M520281"],"award-info":[{"award-number":["2013T60117","2012M520281"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2014,3]]},"DOI":"10.1109\/tnnls.2013.2276398","type":"journal-article","created":{"date-parts":[[2014,2,21]],"date-time":"2014-02-21T15:20:37Z","timestamp":1392996037000},"page":"520-532","source":"Crossref","is-referenced-by-count":3,"title":["Learning Harmonium Models With Infinite Latent Features"],"prefix":"10.1109","volume":"25","author":[{"family":"Ning Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Jun Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Fuchun Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Bo Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"A new learning algorithm for mean field Boltzmann machines","author":"welling","year":"2001","journal-title":"Proc Int Conf Artif Neural Netw"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1111\/1467-9868.00196"},{"key":"ref33","first-page":"1607","article-title":"Replicated softmax: An undirected topic model","author":"salakhutdinov","year":"2009","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2215337"},{"key":"ref31","first-page":"392","article-title":"Bayesian learning in undirected graphical models: Approximate MCMC algorithms","author":"murray","year":"2004","journal-title":"Proc Conf UAI"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1056562463"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.311"},{"key":"ref36","first-page":"556","article-title":"Stick-breaking construction of the Indian buffet process","author":"teh","year":"2007","journal-title":"Proc Int Conf Artif Intell Stat"},{"key":"ref35","first-page":"1829","article-title":"Nonlinear models using Dirichlet process mixtures","volume":"10","author":"shahbaba","year":"2009","journal-title":"J Mach Learn Res"},{"key":"ref34","first-page":"693","article-title":"Efficient learning of deep Boltzmann machines","author":"salakhutdinov","year":"2011","journal-title":"Proc Int Conf Artif Intell Stat"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.64"},{"key":"ref11","first-page":"88","article-title":"Multi-view learning in the presence of view disagreement","author":"christoudias","year":"2008","journal-title":"Proc 24th Conf UAI"},{"key":"ref40","article-title":"Exponential family Harmoniums with an application to information retrieval","author":"welling","year":"2004","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref12","first-page":"215","article-title":"An analysis of single-layer networks in unsupervised feature learning","author":"coates","year":"2011","journal-title":"Proc Int Conf Artif Intell Stat"},{"key":"ref13","first-page":"233","article-title":"A spike and slab restricted Boltzmann machine","author":"courville","year":"2011","journal-title":"Proc Int Conf Artif Intell Stat"},{"key":"ref14","first-page":"1145","article-title":"Unsupervised models of images by spike-and-slab RBMs","author":"courville","year":"2011","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref15","first-page":"265","article-title":"On the algorithmic implementation of multiclass kernel-based vector machines","volume":"2","author":"crammer","year":"2001","journal-title":"J Mach Learn Res"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1214\/08-AOAS202"},{"key":"ref17","article-title":"Training restricted Boltzmann machines on word observations","author":"dahl","year":"2012","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref18","first-page":"137","article-title":"Variational inference for the Indian buffet process","author":"doshi-velez","year":"2009","journal-title":"Proc Int Conf Artif Intell Stat"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315151"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390224"},{"journal-title":"Pattern Recognition and Machine Learning","year":"2006","author":"bishop","key":"ref4"},{"key":"ref3","first-page":"577","article-title":"The infinite hidden Markov model","author":"beal","year":"2002","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref27","first-page":"897","article-title":"DiscLDA: Discriminative learning for dimensionality reduction and classification","author":"lacoste-jullien","year":"2008","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref6","article-title":"Supervised topic models","author":"blei","year":"2007","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/BF01589116"},{"key":"ref5","first-page":"1","article-title":"Correlated topic models","author":"blei","year":"2006","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/279943.279962"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1162\/jmlr.2003.3.4-5.993"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176342871"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2224882"},{"key":"ref1","article-title":"Learning the structure of deep sparse graphical models","author":"adams","year":"2010","journal-title":"Proc Int Conf Artif Intell Stat"},{"key":"ref20","article-title":"Unsupervised learning of distributions of binary vectors using 2-layer networks","author":"freund","year":"1992","journal-title":"Proc Adv Neural Inf Process Syst"},{"journal-title":"Bayesian inference with posterior regularization and infinite latent support vector machines","year":"2012","author":"zhu","key":"ref46"},{"key":"ref45","first-page":"617","article-title":"Infinite SVM: A Dirichlet process mixture of large margin kernel machines","author":"zhu","year":"2011","journal-title":"Proc ICML"},{"key":"ref22","article-title":"Infinite latent feature models and the Indian buffet process","author":"griffiths","year":"2006","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref21","first-page":"333","article-title":"The chain graph Markov property","volume":"17","author":"frydenberg","year":"1990","journal-title":"Scandinavian Journal of Statistics"},{"key":"ref47","first-page":"2531","article-title":"Maximum entropy discrimination Markov networks","volume":"10","author":"zhu","year":"2009","journal-title":"J Mach Learn Res"},{"journal-title":"A practical guide to training restricted Boltzmann Machines","year":"2010","author":"hinton","key":"ref24"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972771.34"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1162\/089976602760128018"},{"key":"ref41","article-title":"Mining associated text and images with dual-wing Harmoniums","author":"xing","year":"2005","journal-title":"Proc 12 Annu Conf UAI"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2011.2168604"},{"key":"ref44","article-title":"Infinite latent SVM for classification and multi-task learning","author":"zhu","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref25","first-page":"289","article-title":"Probabilistic latent semantic analysis","author":"hofmann","year":"1999","journal-title":"Proc Conf Uncertainty Artif Intell"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553535"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/6740874\/06741394.pdf?arnumber=6741394","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:30:47Z","timestamp":1641987047000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/6741394\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,3]]},"references-count":47,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2013.2276398","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"type":"print","value":"2162-237X"},{"type":"electronic","value":"2162-2388"}],"subject":[],"published":{"date-parts":[[2014,3]]}}}