One of the challenges a decision maker faces is choosing a suitable rough set model to use for data analysis. The traditional algebraic rough set model classifies objects into th...
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Dynamic reconfigurable simulation based on Discrete Event System Specification (DEVS) requires efficient verification of simulation models. Traditional verification method of DEVS ...
An important demand in Model-Driven Development is the simple and efficient expression of model patterns. Current approaches tend to distinguish the language they use to express pa...
In this paper we present a state dependent analytical leakage power model for FPGAs. The model accounts for subthreshold leakage and gate leakage in FPGAs, since these are the two...