Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...
In this paper we study a paradigm to generalize online classification algorithms for binary classification problems to multiclass problems. The particular hypotheses we investig...
Web search engines are composed of a large set of search nodes and a broker machine that feeds them with queries. A location cache keeps minimal information in the broker to regist...
The purpose of this paper is to describe the work in progress related to the customisation, the trial and the evaluation of an innovative e-learning platform for manager upgrade i...
Verylarge databases with skewedclass distributions and non-unlformcost per error are not uncommonin real-world data mining tasks. Wedevised a multi-classifier meta-learningapproac...