This paper studies the use of pricing as an incentive mechanism to encourage private, self-interested nodes to participate in a public wireless mesh network and cooperate in the p...
In many regression tasks, in addition to an accurate estimate of the conditional mean of the target distribution, an indication of the predictive uncertainty is also required. Ther...
Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chap...
To develop efficient algorithms for the reachability analysis of timed automata, a promising approach is to use binary decision diagrams (BDDs) as data structure for the representa...
We present a framework for recovery of nonmonotonic theories, i.e. of theories that are interpreted using a nonmonotonic semantics. Recovery of a nonmonotonic theory is needed if ...
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
Iead Rezek, David S. Leslie, Steven Reece, Stephen...