Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Continuous action systems (CAS) is a formalism intended for modeling hybrid systems (systems that combine discrete control with continuous behavior), and proving properties about ...
Ralph-Johan Back, Cristina Cerschi Seceleanu, Jan ...
Abstract. We present a method which computes optimized representations for non-convex polyhedra. Our method detects so-called redundant linear constraints in these representations ...
Christoph Scholl, Stefan Disch, Florian Pigorsch, ...
We present an overview of the program transformation techniques which have been proposed over the past twenty-five years in the context of logic programming. We consider the appro...
Alberto Pettorossi, Maurizio Proietti, Valerio Sen...
We propose LAZY arc-reversal with variable elimination (LAZY-ARVE) as a new approach to probabilistic inference in Bayesian networks (BNs). LAZY-ARVE is an improvement upon LAZY ar...