In this work we propose a comparative study of the effects of a continuous model update on the effectiveness of wellknown query recommendation algorithms. In their original formul...
Daniele Broccolo, Franco Maria Nardini, Raffaele P...
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for representing continuous chance variables in influence diagrams. Also, MTE potentials c...
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...