A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Voice over IP (VoIP) and Instant Messaging (IM) systems to date have either followed a client-server model or have required the use of clients that do not follow any VoIP or IM st...
There are two main approaches, conservative and optimistic, for maintaining consistency in distributed network games. Under the conservative approach, players may experience netwo...
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
This paper proposes a set of novel multicast algorithms for m-D mesh overlay networks that can achieve shorter multicast delay and less resource consumptions. In contrast to previo...