Abstract-- The inference of a network structure from experimental data providing dynamical information about the underlying system of investigation is an important and still outsta...
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
Ying Guo, Peter L. Bartlett, John Shawe-Taylor, Ro...
Abstract. This paper describes a tool for extracting multi-word number expressions, calculating their numerical values, and then generating them into another language, thus transla...
Existing multicast traffic engineering (TE) solutions tend to use explicit routing through MPLS tunnels. In this paper we shift away from this overlay approach and address the band...