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Scaling up Bayesian variational inference using distributed computing clusters.

, , , , , , и . Int. J. Approx. Reason., (2017)

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Ana Martínez Velarde

Ana Martinez Hernandez

Vania Martínez

Carlos Martínez

Conrado Martínez

 

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Highly Scalable Attribute Selection for Averaged One-Dependence Estimators., , и . PAKDD (2), том 8444 из Lecture Notes in Computer Science, стр. 86-97. Springer, (2014)Mixture of truncated exponentials in supervised classification: Case study for the naive bayes and averaged one-dependence estimators classifiers., , , и . ISDA, стр. 593-598. IEEE, (2011)Non-Disjoint Discretization for Aggregating One-Dependence Estimator Classifiers., , , и . HAIS (2), том 7209 из Lecture Notes in Computer Science, стр. 151-162. Springer, (2012)Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter?, , , и . Appl. Intell., 34 (3): 372-385 (2011)Analyzing the Impact of the Discretization Method When Comparing Bayesian Classifiers., , , и . IEA/AIE (1), том 6096 из Lecture Notes in Computer Science, стр. 570-579. Springer, (2010)GAODE and HAODE: two proposals based on AODE to deal with continuous variables., , , и . ICML, том 382 из ACM International Conference Proceeding Series, стр. 313-320. ACM, (2009)HODE: Hidden One-Dependence Estimator., , , и . ECSQARU, том 5590 из Lecture Notes in Computer Science, стр. 481-492. Springer, (2009)Scalable Learning of Bayesian Network Classifiers., , , и . J. Mach. Learn. Res., (2016)AMIDST: A Java toolbox for scalable probabilistic machine learning., , , , , , , и . Knowl. Based Syst., (2019)Financial Data Analysis with PGMs Using AMIDST., , , , , , , и . ICDM Workshops, стр. 1284-1287. IEEE Computer Society, (2016)