# A Bayesian Approach to Learning Bayesian Networks with Local Structure

@article{Chickering1997ABA, title={A Bayesian Approach to Learning Bayesian Networks with Local Structure}, author={David Maxwell Chickering and D. Heckerman and Christopher Meek}, journal={ArXiv}, year={1997}, volume={abs/1302.1528} }

Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distributions (CPDs) stored at each node. The majority of this work has concentrated on using decision-tree representations for the CPDs. In addition, researchers typically apply non-Bayesian (or asymptotically Bayesian) scoring functions such as MDL to evaluate the goodness-of-fit of networks to the data.
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