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Bayesian Exponential Family Harmoniums  (Make Corrections)  
Fan Guo Eric P. Xing May 24, 2005 CMU-ML-06-103 School of Computer Science...



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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" }
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164   Latent dirichlet allocation - Blei, Ng et al. - 2003
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1   The rate adapting poisson model for information retrieval an.. (context) - Gehler, Holub et al. - 2006
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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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