This paper presents an improved method to accurately estimate signal probabilities using ordered partial decision diagrams (OPDDs) [Kodavarti 93] for partial representation of the...
Abstract—This paper investigates threshold based neural networks for periodic symmetric Boolean functions and some related operations. It is shown that any n-input variable perio...
Abstract. This paper studies how to verify the conformity of a program with its specification and proposes a novel constraint-programming framework for bounded program verification...
To develop efficient algorithms for the reachability analysis of timed automata, a promising approach is to use binary decision diagrams (BDDs) as data structure for the representa...
Abstract-- This paper introduces a deterministic approximation algorithm with error guarantees for computing the probability of propositional formulas over discrete random variable...