We describe scoring metrics for learning Bayesian networks from a combination of user knowledge and statistical data. We identify two important properties of metrics, which we cal...
David Heckerman, Dan Geiger, David Maxwell Chicker...
In time-varying wireless networks, the states of the communication channels are subject to random variations, and hence need to be estimated for efficient rate adaptation and sched...
—For sensor networks deployed to monitor and report real events, event source anonymity is an attractive and critical security property, which unfortunately is also very difficu...
: The development and deployment of interconnected networks is being increasingly limited by their complexity and the concomitant cost of managing the operational network. Autonomi...
David Lewis, Declan O'Sullivan, Ruaidhri Power, Jo...