Most hardware description languages do not enforce determinacy, meaning that they may yield races. Race conditions pose a problem for the implementation, verification, and validat...
Patrick Schaumont, Sandeep K. Shukla, Ingrid Verba...
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
—This paper studies a network under TCP congestion control, in which the number of flows per user is explicitly taken into account. We present a control law for this variable th...
Model checking would answer all finite-state verification problems, if it were not for the notorious state-space explosion problem. A problem of practical importance, which attra...
Nearly all major commercial computer-aided design systems have adopted a feature-based design approach to solid modeling. Models are created via a sequence of operations which app...