Today's Internet is extremely vulnerable to Distributed Denial of service (DDoS) attacks. There is tremendous pressure on the sites performing online business and ISP's ...
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
We study a single-router Network-on-Chip modelled as a tandem queueing network. The first node is a geoK /D/1 queue (K fixed) representing a network interface, and the second node...
Abstract--The ranking problem has become increasingly important in modern applications of statistical methods in automated decision making systems. In particular, we consider a for...
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
Tanya Roosta, Martin J. Wainwright, Shankar S. Sas...