We describe a novel framework for class noise mitigation that assigns a vector of class membership probabilities to each training instance, and uses the confidence on the current ...
Abstract. This paper is devoted to an online variant of the minimum spanning tree problem in randomly weighted graphs. We assume that the input graph is complete and the edge weigh...
This paper presents a support for the development of Distributed Virtual Environments (DVEs) on P2P architectures. A hierarchical overlay is defined by pairing each peer with a wei...
—Traditional connectionist classification models place an emphasis on learned synaptic weights. Based on neurobiological evidence, a new approach is developed and experimentally ...
The virtual synchrony model for group communication has proven to be a powerful paradigm for building distributed applications. Implementationsof virtual synchrony usually require...