Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
This paper deals with the study of the exchange of messages among a set of processors linked through an interconnection network. We focus on general, non-uniform versions of messa...
he significant increase in the available computational power that took place in recent decades has been accompanied by a growing interest in the application of the evolutionary ap...
Ad hoc networks rely on nodes forwarding each other’s packets, making trust and cooperation key issues for ensuring network performance. As long as all nodes in the network belo...
Since the birth of ARPANET and the first commercial applications of computer networks, through explosion of popularity of the Internet and wireless communications, we have witnes...