Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
Abstract. We propose an approach to build a classifier composing consistent (100% confident) rules. Recently, associative classifiers that utilize association rules have been widel...
Abstract: UML may be used to describe both the structure and behavior of objectoriented systems using a combination of notations. For the modeling of the dynamic behavior, a number...
Abstract: Combinatorial property testing, initiated formally by Goldreich, Goldwasser, and Ron in [Goldreich et al. (1998)] and inspired by Rubinfeld and Sudan in [Rubinfeld and Su...
Abstract: We present a novel approach to the verification of functional-logic programs. For our verification purposes, equational reasoning is not valid due to the presence of non-...