We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
The main intent of this paper is to address the issue of middleware in network centric operations. To this end, we characterize a set of Information Technology capabilities that s...
Ali Benssam, Jean Berger, Abdeslem Boukhtouta, Mou...
The High-Speed Downlink Packet Access (HSDPA) communication protocol improves downlink performance on mobile networks and is currently being deployed in networks around the world....
: Recurrent neural networks possess interesting universal approximation capabilities, making them good candidates for time series modeling. Unfortunately, long term dependencies ar...
Simulation and emulation are valuable techniques for the evaluation of algorithms and protocols used in mobile ad-hoc networks. However, these techniques always require the simpli...