Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Data flow process networks are a good model of computation for streaming multimedia applications incorporating audio, video and/or graphics streams. Process networks are concurre...
Circuit networks are expensive to build, difficult to operate, fragile, and not easily scalable. Many network operators would like to carry circuit traffic as an overlay on top of...
Kathleen M. Nichols, Van Jacobson, Kedarnath Podur...
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
We present three localized techniques for broadcasting in large scale ad hoc networks, i.e., for the problem of disseminating a message from a source node to all the nodes in the ...
Lorenzo Orecchia, Alessandro Panconesi, Chiara Pet...