The multiply sectioned Bayesian network (MSBN) framework is the most studied approach for distributed Bayesian Network inference in an MAS setting. This paper describes a new fram...
Abstract. Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used ...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
The common approach to reduce cache conflicts is to increase the associativity. From a dynamic power perspective this associativity comes at a high cost. In this paper we present...
Abstract. In this paper, we consider the problem of ontology evolution in the face of a change operation. We devise a general-purpose algorithm for determining the effects and side...
George Konstantinidis, Giorgos Flouris, Grigoris A...
Email has become an integral method of communication. However, it is still plagued by vast amounts of spam. Many statistical techniques, such as Bayesian filtering, have been app...