We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
We propose a statistical method for estimating a gene network based on Bayesian networks from microarray gene expression data together with biological knowledge including protein-...
An efficient algorithm is presented to map an arbitrary traffic pattern and network topology on a mesh of rings network. The network is described by a two-layer model. The first la...
Sensor networks consist of a potentially huge number of very small and resource limited self-organizing devices. This paper presents the design of a general distributed service dir...
Abstract. We present fast distributed algorithms for coloring and (connected) dominating set construction in wireless ad hoc networks. We present our algorithms in the context of U...