This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
This paper extends a geometric framework for interpreting crossover and mutation [4] to the case of sequences. This representation is important because it is the link between artif...
Multi-algebras allow to model nondeterminism in an algebraic framework by interpreting operators as functions from individual arguments to sets of possible results. We propose a s...
Andrea Corradini, Fabio Gadducci, Wolfram Kahl, Ba...
This paper presents a new approach for verifying confidenfor programs, based on abstract interpretation. The framework is formally developed and proved correct in the theorem prov...
Animation of execution is a necessary feature of source-level debuggers. We present a framework where animators are generated from existing algebraic speci cations of interpreters....