MLnet Summer School on Machine Learning and Knowledge Acquisition: LEARNING AND PROBABILITIES

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by Wray Buntine

Active Bibliography

253 Operations for Learning with Graphical Models – Wray L. Buntine - 1994
598 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
764 Hierarchical mixtures of experts and the EM algorithm – Michael I. Jordan - 1994
7 Prior Information and Generalized Questions – Jörg C. Lemm - 1996
752 Statistical pattern recognition: A review – Anil K. Jain, Robert P. W. Duin, Jianchang Mao - 2000
1 Bayesian Field Theory. Nonparametric approaches to density estimation, regression, classification, and inverse quantum problems – Jörg C. Lemm, Universität Münster - 1999
638 Bayesian Network Classifiers – Nir Friedman, Dan Geiger, Moises Goldszmidt - 1997
903 A tutorial on learning with Bayesian networks – David Heckerman - 1995
1413 Data Clustering: A Review – A K Jain, M N Murty, P. J. Flynn - 1999