On the 14th September 2018 I presented the following paper at ECML-PKDD in Dublin. The slides for the talk are here.
We figured out how to do good smoothing of Bayesian network classifiers. The same technique works for decision trees, and in fact beats all known algorithms for smoothing/pruning!
“Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes”, by François Petitjean, Wray Buntine, Geoffrey I. Webb and Nayyar Zaidi, in Machine Learning, 18th May 2018, DOI 10.1007/s10994-018-5718-0. Available online at Springer Link. Presented at ECML-PKDD 2018 in Dublin in September, 2018.
Bayesian Models 