Abstract. In this paper, we presen t an algorithm that provides adaptive plasticity in function approximation problems: the deformable (feature) map (DM) algorithm. The DM approach...
We consider the problem of learning in multilayer feed-forward networks of linear threshold units. We show that the Vapnik-Chervonenkis dimension of the class of functions that ca...
In this paper, a novel approximate link-state dissemination framework, called TROP, is proposed for shared backup path protection (SBPP) in Multi-Protocol Label Switching (MPLS) ne...
Abstract—In this paper we consider routing and wavelength assignment in wavelength-routed all-optical networks with circuitswitching. The conventional approaches to address this ...
Abstract— Network service providers contract with network owners for connection rights, then offer individual users network access at a price. Within this hierarchy, the service ...