Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
Abstract. A proof method is described which combines compositional proofs of interleaved parallel programs with the intuitive and highly automatic strategy of symbolic execution. A...
Abstract. A formal and effective approach to the extension of the computational behaviour of logic programs is presented. The approach builds upon the following concepts. The exte...
Chaotic iteration sequences is a method for approximating fixpoints of monotonic functions proposed by Patrick and Radhia Cousot. It may be used in specialisation algorithms for ...