d Set Abstraction using SAT Edd Barrett Andy King School of Computing, University of Kent, CT2 7NF, UK Symbolic decision trees are not the only way to correlate the relationship b...
nd Counterexample-Based Abstraction Niklas Een, Alan Mishchenko EECS Department, University of California Berkeley, USA. Nina Amla Cadence Research Laboratroy Berkeley, USA. This p...
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Abstract. In this paper, we investigate how an IA network can be effectively encoded into the SAT domain. We propose two basic approaches to modelling an IA network as a CSP: one r...
Abstract. Computational Grids provide a widely distributed computing environment suitable for randomized SAT solving. This paper develops techniques for incorporating learning, kno...