— In this paper we investigate network design for a wireless service provider using two orthogonal technologies: a WAN technology with uniform spatial coverage and set of LAN acc...
Distributed Hash Tables (DHTs) bring the promise of increased availability of data to wide-area systems, under the assumption of uniform request load. However, they don't int...
We consider probabilistic inference in general hybrid networks, which include continuous and discrete variables in an arbitrary topology. We reexamine the question of variable dis...
We consider a class of systems influenced by perturbations that are nonlinearly parameterized by unknown constant parameters, and develop a method for estimating the unknown param...
Gaussian kernels with flexible variances provide a rich family of Mercer kernels for learning algorithms. We show that the union of the unit balls of reproducing kernel Hilbert s...