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Statistical models / Latent Dirichlet allocation / Variational Bayesian methods / Graphical models / Topic model / Expectation–maximization algorithm / Mixture model / Dirichlet process / Dirichlet distribution / Statistics / Statistical natural language processing / Bayesian statistics


A Variational Approximation for Topic Modeling of Hierarchical Corpora Do-kyum Kim Geoffrey M. Voelker
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Document Date: 2013-03-20 12:49:52

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City

Atlanta / Asuncion / Montreal / London / A. / /

Company

Craigslist / Neural Information Processing Systems / A. Rethinking LDA / Enron / Twitter / Google / Facebook / /

Country

Jordan / United States / United Kingdom / /

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Facility

BlackHat Lounge / University of California / /

IndustryTerm

real-world applications / Internet marketing / larger and more diverse applications / search engines / Online learning / large crowdsourcing site / large-scale hypertextual web search engine / http /

Organization

National Science Foundation / American Statistical Association / IMC / Security and Artificial Intelligence / Department of Computer Science and Engineering / University of California / San Diego / /

Person

Taylor / Lawrence K. Saul / Francis / Geoffrey M. Voelker / /

Position

author / Singer / topic model for hierarchical corpora / /

ProgrammingLanguage

E / PHP / /

ProvinceOrState

California / Georgia / /

PublishedMedium

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

Technology

PHP / artificial intelligence / variational EM algorithm / Data Mining / search engine / Machine Learning / variational EM algorithms / /

URL

Freelancer.com / http /

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