Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Evolutionary algorithms (EAs) are regularly used both for the solution of scheduling problems, and for the creation of digital circuit designs. This paper describes a unified app...
Shrinking process geometries and the increasing use of IP components in SoC designs give rise to new problems in routing and buffer insertion. A particular concern is that cross-c...
Soha Hassoun, Charles J. Alpert, Meera Thiagarajan
Bayesian KnowledgeBases (BKB)are a rule-based probabilistic modelthat extend BayesNetworks(BN), by allowing context-sensitive independenceand cycles in the directed graph. BKBshav...
Abstract. The adequate system performance is usually a critical requirement to be checked during the verification phase of a system. Thus, accurately measuring the performance of c...