Latent variable discovery in classification models

[1]  David Maxwell Chickering,et al.  Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables , 1997, Machine Learning.

[2]  Nir Friedman,et al.  Bayesian Network Classifiers , 1997, Machine Learning.

[3]  Nir Friedman,et al.  Learning the Dimensionality of Hidden Variables , 2001, UAI.

[4]  Nir Friedman,et al.  Discovering Hidden Variables: A Structure-Based Approach , 2000, NIPS.

[5]  David Heckerman,et al.  A Tutorial on Learning with Bayesian Networks , 1999, Innovations in Bayesian Networks.

[6]  Catherine Blake,et al.  UCI Repository of machine learning databases , 1998 .

[7]  Nir Friedman,et al.  Learning Belief Networks in the Presence of Missing Values and Hidden Variables , 1997, ICML.

[8]  Duncan Fyfe Gillies,et al.  Using Hidden Nodes in Bayesian Networks , 1996, Artif. Intell..

[9]  Ron Kohavi,et al.  Supervised and Unsupervised Discretization of Continuous Features , 1995, ICML.

[10]  Michael J. Pazzani,et al.  Searching for Dependencies in Bayesian Classifiers , 1995, AISTATS.

[11]  Dennis Connolly,et al.  Constructing Hidden Variables in Bayesian Networks via Conceptual Clustering , 1993, ICML.

[12]  Sebastian Thrun,et al.  The MONK''s Problems-A Performance Comparison of Different Learning Algorithms, CMU-CS-91-197, Sch , 1991 .

[13]  Igor Kononenko,et al.  Semi-Naive Bayesian Classifier , 1991, EWSL.

[14]  G. Schwarz Estimating the Dimension of a Model , 1978 .

[15]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .