—We propose a dynamic spectrum access scheme where secondary users recommend “good” channels to each other and access accordingly. We formulate the problem as an average rewa...
During the last decade, the study of large scale complex networks has attracted a substantial amount of attention and works from several domains: sociology, biology, computer scie...
Antoine Scherrer, Pierre Borgnat, Eric Fleury, Jea...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
We extend our previous work on the exploration of static metabolic networks to evolving, and therefore dynamic, pathways. We apply our visualization software to data from a simulat...
Markus Rohrschneider, Alexander Ullrich, Andreas K...
Abstract-- This paper presents a novel mechanism for dynamically adapting the quality of congestion controlled Voice Over IP (VoIP) applications on the internet in real time. The s...