Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
This work explores issues of computational disclosure control. We examine assumptions in the foundations of traditional problem statements and abstract models. We offer a comprehe...
Rick Crawford, Matt Bishop, Bhume Bhumiratana, Lis...
This work presents a study of the nature of expertise in geology, which demands visual recognition methods to describe and interpret petroleum reservoir rocks. In an experiment usi...
Abstract. We prove several results related to local proofs, interpolation and suion calculus and discuss their use in predicate abstraction and invariant generation. Our proofs and...
This paper describes a sound technique that combines the precision em proving with the loop-invariant inference of abstract interpretation. The loop-invariant computations are invo...