Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM ...
In this paper, we describe and evaluate three different techniques for translating pseudoboolean constraints (linear constraints over boolean variables) into clauses that can be h...
With the Internet designed to provide best-effort packet transmission, applications are expected to adapt dynamically to the operating conditions observed in the network. For this ...
Abstract. Many computational problems linked to uncertainty and preference management can be expressed in terms of computing the marginal(s) of a combination of a collection of val...
This paper reports our work on extending the OMNeT++ INET Framework with a directional radio model, putting a special emphasis on the implementation of asymmetrical communications...
Paula Uribe, Juan Carlos Maureira Bravo, Olivier D...