We study network capacity limits and optimal routing algorithms for regular sensor networks, namely, square and torus grid sensor networks, in both, the static case (no node failu...
Consider a multiclass stochastic network with state dependent service rates and arrival rates describing bandwidth-sharing mechanisms as well as admission control and/or load bala...
A central challenge in systems biology is the reconstruction of biological networks from high-throughput data sets. A particularly difficult case of this is the inference of dynami...
Michael Baym, Chris Bakal, Norbert Perrimon, Bonni...
Active networks allow their users to inject customized programs into the nodes of the network. An extreme case, in which we are most interested, replaces packets with “capsulesâ...
Neural network ensemble is a learning paradigm where several neural networks are jointly used to solve a problem. In this paper, the relationship between the generalization abilit...