Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
Narrowing extends rewriting with logic capabilities by allowing free variables in terms and replacing matching with unification. Narrowing has been widely used in different context...
We propose a family of kernels based on the Binet-Cauchy theorem and its extension to Fredholm operators. This includes as special cases all currently known kernels derived from t...
Queueing network models have been extensively applied to represent and analyze resource sharing systems such as communication and computer systems and they have proved to be a pow...
We are concerned with the availability of systems, defined as the ratio between time of correct functioning and uptime. We propose to model guaranteed availability in terms of regu...