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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
Proceedings of the 33rd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2020(1)
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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:googlescopusImproving the EDCM mixture model with expectation propagation
Conference ObjectAbstract: Bayesian inference is crucial to challenging scenarios that involve complex probabilistic models, whPalabras claves:Autores:Bouguila N., Xavier Sumba, Zamzami N.Fuentes:googlescopus