Learning with Probabilistic Representations Pat LangleyGregory M. ProvanPadhraic Smyth OriginalPaper Pages: 91 - 101
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss Pedro DomingosMichael Pazzani OriginalPaper Pages: 103 - 130
The Sample Complexity of Learning Fixed-Structure Bayesian Networks Sanjoy Dasgupta OriginalPaper Pages: 165 - 180
Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables David Maxwell ChickeringDavid Heckerman OriginalPaper Pages: 181 - 212
Adaptive Probabilistic Networks with Hidden Variables John BinderDaphne KollerKeiji Kanazawa OriginalPaper Pages: 213 - 244
Predicting Protein Secondary Structure Using Stochastic Tree Grammars Naoki AbeHiroshi Mamitsuka OriginalPaper Pages: 275 - 301
