Discriminative Model Selection for Belief Net Structures

Book One

Volume

Proceedings of the AAAI Conference on Artificial Intelligence, 20

Machine Learning

Bayesian belief nets (BNs) are often used for classification tasks, typically to return the most likely class label for a specified instance. Many BN-learners, however, attempt to find the BN that maximizes a different objective function --- viz., likelihood, rather than classification accuracy --- typically by first using some