We investigate the use of a thin-client based configuration in providing students with universal access to a centralized, graphical computing environment. The primary goal is to ...
Statistical learning theory chiefly studies restricted hypothesis classes, particularly those with finite Vapnik-Chervonenkis (VC) dimension. The fundamental quantity of interest i...
The continuous increasing in performance requirements, for both scientic computation and industry, motivates the need of a powerful computing infrastructure. The Grid appeared as ...
— Computing the partition function and the marginals of a global probability distribution are two important issues in any probabilistic inference problem. In a previous work, we ...
We propose a general multiparty computation protocol secure against an active adversary corrupting up to n−1 of the n players. The protocol may be used to compute securely arithm...