Many learning algorithms form concept descriptions composed of clauses, each of which covers some proportion of the positive training data and a small to zero proportion of the ne...
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
The ability of modern SAT solvers to produce proofs of unsatisfiability for Boolean formulas has become a powerful tool for EDA applications. Proofs are generated from a resolve t...
Equivalency clauses (Xors or modulo 2 arithmetics) represent a common structure in the SAT-encoding of many hard real-world problems and constitute a major obstacle to DavisPutnam...
The minimization problem for Horn formulas is to find a Horn formula equivalent to a given Horn formula, using a minimum number of clauses. A 2log1−ǫ (n) -inapproximability re...