Model Selection Criteria for Learning Belief Nets: An Empirical Comparison

Learning Bayesian network classifiers by maximizing conditional likelihood

ICML '04 Proceedings of the twenty-first international conference on Machine learning

Semisupervised Learning of Classifiers: Theory, Algorithms, and Their Application to Human-Computer Interaction

IEEE Transactions on Pattern Analysis and Machine Intelligence

Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers

Machine Learning

Learning dynamic Bayesian network models via cross-validation

Pattern Recognition Letters

A Bayesian approach for structural learning with hidden Markov models

Scientific Programming - Hidden Markov Models

Upper bound for variational free energy of Bayesian networks

Machine Learning

Discriminative model selection for belief net structures

AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2

Infinite Liouville mixture models with application to text and texture categorization

Pattern Recognition Letters

The IMAP hybrid method for learning gaussian bayes nets

AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence