Flexible learning of k-dependence Bayesian network classifiers

In this paper we present an extension to the classical kdependence Bayesian network classifier algorithm. The original method intends to work for the whole continuum of Bayesian classifiers, from na¨ıve Bayes to unrestricted networks. In our experience, it performs well for low values of k. However,...