Boltzmann machine is a classic model of neural computation, and a number of methods have been proposed for its estimation. Most methods are plagued by either very slow convergence...
—This paper builds a generic modeling framework for analyzing the edge-creation process in dynamic random graphs in which nodes continuously alternate between active and inactive...
— Wireless community networks, where users share wireless bandwidth is attracting tremendous interest from academia and industry. Companies such as FON have been successful in at...
Despite a decade of research and development, multicast has not yet been deployed on a global scale. Among the difficulties with the current infrastructure are intermulticast fai...
We investigate theoretically some properties of variational Bayes approximations based on estimating the mixing coefficients of known densities. We show that, with probability 1 a...