Models of simulation program with integrated circuit emphasis (SPICE) are currently playing a central role in the connection between circuit design and chip fabrication communitie...
We model social choice problems in which self interested agents with private utility functions have to agree on values for a set of variables subject to side constraints. The goal...
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
In the efficient social choice problem, the goal is to assign values, subject to side constraints, to a set of variables to maximize the total utility across a population of agent...
— As the popularity of resource-constrained devices such as hand-held computers increases, a new network service offloading complex processing tasks towards computational resour...
Tim Stevens, Marc De Leenheer, Filip De Turck, Bar...