We propose and evaluate a family of methods for converting classifier learning algorithms and classification theory into cost-sensitive algorithms and theory. The proposed conve...
In this paper, we introduce a new heuristic search algorithm based on mean values for anytime planning, called MHSP. It consists in associating the principles of UCT, a bandit-base...
A number of pitfalls of empirical scheduling research are illustrated using real experimental data. These pitfalls, in general, serve to slow the progress of scheduling research b...
J. Christopher Beck, Andrew J. Davenport, Mark S. ...
Routing in computer networks is a nonlinear combinatorial optimization problem with numerous constraints and is classified as an NP-complete problem. There are certain important Qo...
This paper proposes an efficient algorithm that produces near-optimal discrete bit-loading for a Gaussian interference channel that models a DSL network. It first takes a continuou...