Hierarchical linear smoothing replaces expensive HDP Gibbs sampling in Bayesian network classifiers with a fast log-linear regression that achieves comparable or better accuracy.
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Efficient Parameter Estimation for Bayesian Network Classifiers using Hierarchical Linear Smoothing
Hierarchical linear smoothing replaces expensive HDP Gibbs sampling in Bayesian network classifiers with a fast log-linear regression that achieves comparable or better accuracy.