In this paper we present the design of a multidisciplined problem solving environment (MPSE) for supporting an efficient prediction capability for the response of multiscale interd...
John Michopoulos, Panagiota Tsompanopoulou, Elias ...
We propose a general approach for defining behavioural preorders over process terms as the maximal pre–congruences induced by basic observables. We will consider three of these...
Michele Boreale, Rocco De Nicola, Rosario Pugliese
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
Davide Aliprandi, Alex Mancastroppa, Matteo Matteu...
The scheduling of exams in institutions of higher education is known to be a highly constrained problem. The advent of modularity in many institutions in the UK has resulted in a s...
We have designed and implemented three multicast path finding algorithms for networks with directed links: an optimal algorithm based on the dynamic programming technique, a heuri...