![Latent Dirichlet allocation / Topic model / Probabilistic latent semantic analysis / Expectation–maximization algorithm / Logarithm / Latent semantic analysis / Statistics / Statistical natural language processing / Machine learning Latent Dirichlet allocation / Topic model / Probabilistic latent semantic analysis / Expectation–maximization algorithm / Logarithm / Latent semantic analysis / Statistics / Statistical natural language processing / Machine learning](https://www.pdfsearch.io/img/450c466782003da0b0a1b6c1f340d530.jpg)
| Document Date: 2014-05-20 05:42:59 Open Document File Size: 1,33 MBShare Result on Facebook
City Washington / DC / Asuncion / Redmond / / Company Newsgroup / Neural Information Processing Systems / IEEE Press / MIT Press / 7th SIAM Intl / Jojic1 1 Manuele Bicego2 Andrzej Turski1 Microsoft Corporation / CCG 2D CG 3D CG LDA / Microsoft / Counting Grid ( ) Componential Counting Grid ( ) LDA / Day Results 90 80 75 70 Correspondence LDA LDA / / Country Jordan / United States / / Facility University of Verona / / IndustryTerm energy score spaces / much more efficient algorithms / negative free energy / search term / dot-product / search strategy / electronic devices / visualization applications / bake oil dish / em algorithm / oil / search results / learning algorithm / / Organization University of Verona / MIT / U.S. Securities and Exchange Commission / IEEE Computer Society / / Person Silva / V / / Product Eq.12 / Microsoft Corporation Portable Audio Device / / ProgrammingLanguage DC / / PublishedMedium Journal of machine Learning Research / the Science magazine / / Technology learning algorithm / iterative variational EM algorithm / artificial intelligence / DNA Chip / classification algorithms / Data Mining / expensive sampling algorithm / machine Learning / em algorithm / / URL http /
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