We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
This paper describes the tool CASPA, a new performance evaluation tool which is based on a Markovian stochastic process algebra. CASPA uses multi-terminal binary decision diagrams ...
Assembly lines with closed loop parallel lanes have the potential to continue to be productive when individual stations breakdown. A requirement in such parallel lane systems is t...
We investigate the domain-theoretic denotational semantics of a CPS with fresh name declaration. This is the target of a fully abstract CPS translation from the nu-calculus with ï...
We present a formal framework to evaluate stochastic properties of MANET protocols. It captures the interplay between stochastic behavior of protocols deployed at different network...