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Statistical classification / Statistical models / Information retrieval / Latent Dirichlet allocation / Linear discriminant analysis / Probabilistic latent semantic analysis / Mixture model / Topic model / Maximum likelihood / Statistics / Statistical natural language processing / Machine learning


DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification Simon Lacoste-Julien Computer Science Division UC Berkeley
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Document Date: 2009-01-10 00:13:43

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Neural Information Processing Systems / MIT Press / Google / unsupervised LDA. / /

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Computer Science University of Southern California Los Angeles / Institute of Statistical Mathematics / /

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grid search / manifold learning algorithms / matrix product / typical applications / supervised dimensionality reduction algorithm / rec.sport.baseball rec.sport.hockey sci.crypt sci.electronics / machine learning applications / oil / food / /

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Computer Science University of Southern California Los Angeles / National Science Foundation / MIT / UC Berkeley / FDA / National Aeronautics and Space Administration / PCA / Department of Defense / National Academy of Sciences / Institute of Statistical Mathematics / Federal Bureau of Investigation / /

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Guillaume Obozinski / Iain Murray / Percy Liang / Simon Lacoste-Julien / Erik Sudderth / /

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author / driver / author-topic model for authors and documents / president / standard LDA model for proper comparison / Bayesian hierarchical model for learning natural scene categories / rt / Fisher / dealer / latent variable model for chemogenomic profiling / controller / /

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Proceedings of the National Academy of Sciences / Journal of Machine Learning Research / /

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encryption / bioinformatics / gif / manifold learning algorithms / machine learning / scsi / supervised dimensionality reduction algorithm / /

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