Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
One of the most important issues to deal with in peerto-peer networks is how to disseminate information. In this paper, we use a completely new approach to solving the information...
Ajoy Kumar Datta, Maria Gradinariu, Michel Raynal,...
We demonstrate the use of computational phylogenetic techniques to solve a central problem in inferential network monitoring. More precisely, we design a novel algorithm for multi...
Monte Carlo methods and their subsequent simulated annealing are able to minimize general energy functions. However, the slow convergence of simulated annealing compared with more ...
FPGAs are one of the essential components in platform-based embedded systems. Such systems are customized and applied only to a limited set of applications. Also some applications...