Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
Fernando Mateo, Dusan Sovilj, Rafael Gadea Giron&e...
In this paper, we address the problem of finding workload exchange policies for decentralized Computational Grids using an Evolutionary Fuzzy System. To this end, we establish a n...
Abstract. Location-based Services are emerging as popular applications in pervasive computing. Spatial k-anonymity is used in Locationbased Services to protect privacy, by hiding t...
Abstract. We consider the problem of whether a given preferred answer set program can be reduced to a propositional formula. Research on this topic is of both theoretical and pract...
Abstract. The description of a single state of a modelled system is often complex in practice, but few procedures for synthesis address this problem in depth. We study systems in w...