A Grid Approach to Efficiently Embed Information and Knowledge into Collaborative Learning Applications

It could maybe seem somehow insubstantial to consider an actual increase in computing power produced merely by a change in representation, consid- ering that computable functions

Here we can verify what we believe constitutes a paradox: the necessity of con- siderations of an ethical kind is imposed, but from that tradition of Economic Theory whose

This Ph.D. dissertation is centered on the more “classical” applications of LS in the context of image coding: the analysis and improvement of existing wavelets as in §3.4.3 and

As we can see in the following comparison, the evolution between the GDP of Spain and the results obtained by Pamesa, we see that, although in both cases the trend is

The implementation of the cooperation between the execution environment and the applications for manage efficiently the resources in e-business environments uses an

work, they developed a social network to improve collaborative learning and social interaction. His research revealed that the use of this tool motivated the

Here we propose, DeepMF, a novel collaborative filtering method that combines the Deep Learning paradigm with Matrix Factorization (MF) to improve the quality of both predictions

The aim of this work is to go deeper into the knowledge of the effect of the Ph1 locus during early meiosis in wheat, and the use of the ph1b mutant to promote interspecific