Many applications in vehicular networks need the data to be disseminated from a source vehicle to a large number of vehicles in the network. Although many solutions to this proble...
—A new application of the NN ensemble approach is presented. It is applied to NN emulations of model physics in complex numerical climate models, and aimed at improving the accur...
Michael S. Fox-Rabinovitz, Vladimir M. Krasnopolsk...
Abstract— This paper describes the implementation and deployment of a novel architecture for a metropolitan open wireless access network, shared among different service providers...
The automatic analysis of social interactions is attracting significant interest in the multimedia community. This work addresses one of the most important aspects of the problem...
Sarah Favre, Alfred Dielmann, Alessandro Vinciarel...
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...