In this abstract, we provide an overview of our survey of randomized techniques for exploiting the parallelism in string matching problems. Broadly, the study of string matching fa...
In the symbolic analysis of security protocols, two classical notions of knowledge, deducibility and indistinguishability, yield corresponding decision problems. We propose a proce...
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
Set constraints are a useful formalism for verifying properties of programs. Usually, they are interpreted over the universe of finite terms. However, some logic languages allow i...
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...