Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials
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[1] W. Wong,et al. The calculation of posterior distributions by data augmentation , 1987 .
[2] Prakash P. Shenoy,et al. Approximating Probability Density Functions with Mixtures of Truncated Exponentials , 2004 .
[3] Pedro M. Domingos,et al. Naive Bayes models for probability estimation , 2005, ICML.
[4] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[5] Jose A. Gámez. Mining the ESROM: A study of breeding value prediction in Manchego sheep by means of classification techniques plus attribute selection and construction , 2005 .
[6] B. Ripley,et al. Pattern Recognition , 1968, Nature.
[7] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[8] Peter C. Cheeseman,et al. Bayesian Classification (AutoClass): Theory and Results , 1996, Advances in Knowledge Discovery and Data Mining.
[9] Prakash P. Shenoy,et al. Approximating probability density functions in hybrid Bayesian networks with mixtures of truncated exponentials , 2006, Stat. Comput..
[10] P. P. Shenoy,et al. Bayesian Network Models of Portfolio Risk and Return , 2000 .
[11] Pedro Larrañaga,et al. An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering , 2000, Pattern Recognit. Lett..
[12] Michael R. Anderberg,et al. Cluster Analysis for Applications , 1973 .
[13] Rafael Rumí,et al. Learning hybrid Bayesian networks using mixtures of truncated exponentials , 2006, Int. J. Approx. Reason..
[15] Anil K. Jain,et al. Data clustering: a review , 1999, CSUR.
[16] Nir Friedman,et al. The Bayesian Structural EM Algorithm , 1998, UAI.
[17] Serafín Moral,et al. Mixtures of Truncated Exponentials in Hybrid Bayesian Networks , 2001, ECSQARU.