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Latent Dirichlet allocation / Linear discriminant analysis / Machine learning / Parallel computing / Algorithm / Gibbs sampling / Mixture model / Speedup / Expectation–maximization algorithm / Statistics / Statistical natural language processing / Statistical classification


Distributed Inference for Latent Dirichlet Allocation David Newman, Arthur Asuncion, Padhraic Smyth, Max Welling Department of Computer Science University of California, Irvine newman,asuncion,smyth,welling  @ics.uci.ed
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Document Date: 2007-11-27 13:08:31


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Cambridge / /

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underlying LDA / Amazon / MIT Press / Netflix / Google / IDF LDA AD / Perplexity 1900 Perplexity LDA AD / Perplexity Perplexity 1650 LDA AD / Space Time LDA / Approximate Distributed LDA / J.Comp. / Hierarchical Distributed LDA / /

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Jordan / /

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Computer Science University of California / /

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Organization

National Science Foundation / American Statistical Association / MIT / IDF / Max Welling Department / National Academy of Sciences / University of California / Irvine / LDA AD / LDA HD / /

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David Newman / Max Welling / Arthur Asuncion / /

Position

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Product

Precision/ / /

ProvinceOrState

Massachusetts / /

PublishedMedium

Proceedings of the National Academy of Sciences / Journal of the American Statistical Association / /

Technology

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