We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
We propose Satisfiability Checking (SAT) techniques that lead to a consistent performance improvement of up to 3x over state-ofthe-art SAT solvers like Chaff on important problem ...
Malay K. Ganai, Pranav Ashar, Aarti Gupta, Lintao ...
We present an improvement of the SAT-based Unbounded Model Checking (UMC) algorithm. UMC, a symbolic approach introduced in [7], uses propositional formulas in conjunctive normal ...
According to the present state of the theory of the matroid matching problem, the existence of a good characterization to the size of a maximum matching depends on the behavior of ...
In this survey, we outline basic SAT- and ATPGprocedures as well as their applications in formal hardware verification. We attempt to give the reader a trace trough literature and...