We consider PAC learning of simple cooperative games, in which the coalitions are partitioned into "winning" and "losing" coalitions. We analyze the complexity...
It is well-known that naive Bayes performs surprisingly well in classification, but its probability estimation is poor. In many applications, however, a ranking based on class prob...
INEX, the evaluation initiative for content-oriented XML retrieval, has since its establishment defined the relevance of an element according to two graded dimensions, exhaustivit...
In this paper we introduce the problem of Constrained Subspace Skyline Queries. This class of queries can be thought of as a generalization of subspace skyline queries using range...
Abstract. In this work we study the dynamic one-to-one communication problem in energy- and capacity-constrained wireless ad-hoc networks. The performance of such networks is evalu...
Christos A. Papageorgiou, Panagiotis C. Kokkinos, ...