One of the most fundamental problems automatic parallelization tools are confronted with is to find an optimal domain decomposition for a given application. For regular domain prob...
We propose a power model for the Nostrum NoC. For this purpose an empirical power model of links and switches has been formulated and validated with the Synopsys Power Compiler. T...
We propose a new semi-supervised model selection method that is derived by applying the structural risk minimization principle to a recent semi-supervised generalization error bou...
The IEEE 802.16 technology is emerging as a promising solution for BWA due to its ability to support multimedia services and to operate in multiple physical environments. Also, wi...
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...