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NN
2002
Springer
136views Neural Networks» more  NN 2002»
14 years 10 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani
ICANN
2003
Springer
15 years 3 months ago
Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier
Kaizhu Huang, Irwin King, Michael R. Lyu
COLT
2004
Springer
15 years 2 months ago
Suboptimal Behavior of Bayes and MDL in Classification Under Misspecification
We show that forms of Bayesian and MDL inference that are often applied to classification problems can be inconsistent. This means that there exists a learning problem such that fo...
Peter Grünwald, John Langford
NIPS
1998
14 years 12 months ago
Inference in Multilayer Networks via Large Deviation Bounds
We study probabilistic inference in large, layered Bayesian networks represented as directed acyclic graphs. We show that the intractability of exact inference in such networks do...
Michael J. Kearns, Lawrence K. Saul