The vast majority of research projects involving Grid Computing have focused on the development and standardization of the middleware that allows Grids to function. Despite the ma...
Santiago Pena, Dayong Huang, Zhou Lei, Gabrielle A...
Exceptionally large amounts of both distributed data and computational resources are becoming available through the Grid. This will enable efficient exchange and processing of very...
In this paper, we propose a symmetrical EEG/fMRI fusion algorithm which combines EEG and fMRI by means of a common generative model. The use of a total variation (TV) prior as wel...
Martin Luessi, S. Derin Babacan, Rafael Molina, Ja...
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Simulation and optimization of complex mechanical and electronical systems is a very time consuming and computationally intensive task. Therefore, metamodeling techniques are ofte...
Dirk Gorissen, Wouter Hendrickx, Karel Crombecq, T...