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Clustering Count Data with Stochastic Expectation Propagation
Conference ObjectAbstract: Clustering count vectors is a challenging task given their sparsity and high-dimensionality. An effiPalabras claves:Emsd distribution, Mixture model, Stochastic expectation propagationAutores:Bouguila N., Xavier Sumba, Zamzami N.Fuentes:googlescopusImproving Classification Using Topic Correlation and Expectation Propagation
Conference ObjectAbstract: Probabilistic topic models are broadly used to infer meaningful patterns of words over a mixture ofPalabras claves:Expectation propagation, Topic classification, TOPIC MODELLINGAutores:Bouguila N., Xavier SumbaFuentes:googlescopus