Fan Guo Eric P. Xing May 24, 2005 CMU-ML-06-103 School of Computer Science...  Home/Search
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Abstract: A Bayesian Exponential Family Harmonium (BEFH) model is presented for topical modeling of text and multimedia data, and for "posterior" latent semantic projection of such data for subsequent data mining tasks. BEFHs are a Bayesian approach to inference and learning with the recently proposed EFH models and their variants, which enables smoothed, robust estimation of the topicattribute coupling coefficients that are reminiscent of the smoothed topical word-probabilities in the latent Dirichlet... (Update)
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BibTeX entry: (Update)
@misc{ eric-bayesian,
author = "Fan Guo Eric",
title = "Bayesian Exponential Family Harmoniums",
url = "citeseer.ist.psu.edu/752711.html" }
Citations (may not include all citations):568 Indexing by latent semantic analysis - Deerwester, Dumais et al. - 1990
164 Latent dirichlet allocation - Blei, Ng et al. - 2003
123 Probabilistic latent semantic indexing - Hofmann - 1999
107 Matching words and pictures - Barnard, Duygulu et al. - 2003
50 Training products of experts by minimizing contrastive diver.. - Hinton - 2002
15 Modeling annotated data - Blei, Jordan - 2003
4 Exact sampling from non-attractive distributions using summa.. (context) - Childs, Patterson et al. - 2001
3 Bayesian learning in undirected graphical models: Approximat.. - Murray, Ghahramani - 2004
2 Exponenetial family harmoniums with an application to inform.. (context) - Welling, Rosen-Zvi et al. - 2004
1 The rate adapting poisson model for information retrieval an.. (context) - Gehler, Holub et al. - 2006
1 TRECVID: Benchmarking the effectiveness of information retri.. (context) - Smeaton, Over - 2003
1 On contrastive divergence learning (context) - Carreira-Perpinan, Hinton - 2005
1 Bayesian conditional random fields - Qi, Szummer et al. - 2005
1 Hamiltonian evolution for the hybrid monte carlo algorithm (context) - Sexton, Weingarten - 1992
1 Mining associated text and images with dual-wing harmoniums - Xing, Yan et al. - 2005
1 Multi-conditional learning: Generative /discriminative train.. (context) - McCallum, Pal et al. - 2006
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