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Mathematics / Dynamic topic model / Latent Dirichlet allocation / Topic model / Perplexity / Markov random field / Expectation–maximization algorithm / Information retrieval / Statistical natural language processing / Statistics / Machine learning


Markov Topic Models Chong Wang ∗ Computer Science Dept. Princeton University Princeton, NJ 08540
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Document Date: 2010-08-18 22:20:56


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City

Ruschendorf / SIGIR / Clearwater Beach / /

Company

AUAI Press / Neural Information Processing Systems / K Y W Y NV / MIT Press / Mei / Google / perplexity LDA / Microsoft / SIGIR WWW 1200 1400 1350 1350 LDA / /

Country

Jordan / United States / /

IndustryTerm

spatiotemporal theme pattern mining / web information retrieval / web blogs / information processing / analytical solution / spam clustering similarity mining detection algorithms extraction / online documents / learning model data models algorithm / knowledge management / Web Conference / mining / text processing / data algorithm cluster frequent clusters algorithms algorithms / /

Organization

Royal Statistical Society / National Science Foundation / MTM (MTM) / MIT / UC Berkeley / Princeton University / /

Person

Christopher Meek / David Blei / Chong Wang / David M. Blei / /

Position

model / author-topic model for authors and documents / Bayesian hierarchical model for learning natural scene categories / Graphical model for MTMs with multiple corpora / model data models algorithm bayesian approach using structure / /

Product

Markov / MTMs / /

ProvinceOrState

New Jersey / Florida / New York / Washington / /

PublishedMedium

Journal of the Royal Statistical Society / Machine Learning / /

Technology

Knowledge Management / learning model data models algorithm / artificial intelligence / variational EM algorithm / 1 IPF algorithm / data algorithm cluster frequent clusters algorithms algorithms / Data Mining / Machine Learning / mw Algorithm / /

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