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Latent Dirichlet allocation / Dirichlet process / Mixture model / Chinese restaurant process / Topic model / Hidden Markov model / Hierarchy / Information retrieval / Bayes factor / Statistics / Statistical natural language processing / Stochastic processes


Hierarchical Topic Models and the Nested Chinese Restaurant Process David M. Blei [removed] Thomas L. Griffiths
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Document Date: 2010-08-18 22:20:54

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City

Berlin / San Francisco / /

Company

NTT Communication Science Laboratories / underlying LDA / Neural Information Processing Systems / hierarchical LDA / Microsoft Corporation / Monte Carlo / be estimated using Markov chain Monte Carlo / /

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Facility

Chinese restaurant / Introduction Complex / One restaurant / Massachusetts Institute of Technology Cambridge / restaurant cz / University of California / /

IndustryTerm

statistical modeling tools / text applications / /

Organization

Institute of Technology Cambridge / American Statistical Association / Cognitive Science Society / Ecole d’´et´e / University of California / Berkeley / Massachusetts Institute of Technology / /

Person

Let / Lester Dubins / Michael I. Jordan / Thomas L. Griffiths / Jim Pitman / John Wiley / David M. Blei / Joshua B. Tenenbaum / /

Position

topic model / model representation / /

Product

Microsoft Corporation Portable Audio Device / /

ProvinceOrState

California / Massachusetts / /

PublishedMedium

Journal of Machine Learning Research / Journal of the American Statistical Association / /

Technology

sampling algorithm / neuroscience / bioinformatics / design algorithm / machine learning / 94720 Massachusetts Institute of Technology / Gibbs sampling algorithm / /

URL

http /

SocialTag