Explaining away has mostly been considered in terms of inference of states in belief networks. We show how it can also arise in a Bayesian context in inference about the weights g...
Recursive Petri Nets (RPNs) allow to design and analyze complex discrete event systems. Indeed, RPNs enable to model patterns of discrete event systems related to the dynamic struc...
Software Transactional Memories (STMs) are emerging as a highly attractive programming model, thanks to their ability to mask concurrency management issues to the overlying applic...
Roberto Palmieri, Francesco Quaglia, Paolo Romano,...
We present a new evaluation criterion for the induction of decision trees. We exploit a parameter-free Bayesian approach and propose an analytic formula for the evaluation of the p...
The theory of two-dimensional languages, generalizing formal string languages, was motivated by problems arising from image processing and models of parallel computing. Weighted au...