We introduce a framework for syntactic parsing with latent variables based on a form of dynamic Sigmoid Belief Networks called Incremental Sigmoid Belief Networks. We demonstrate ...
Natural cortical neurons form functional networks through a complex set of developmental steps. A key process in early development is the transition of the spontaneous network dyna...
Andreas Herzog, Karsten Kube, Bernd Michaelis, Ana...
We characterize probabilities in Bayesian networks in terms of algebraic expressions called quasi-probabilities. These are arrived at by casting Bayesian networks as noisy AND-OR-...
Distributed applications mostly interact by exchanging messages. For this purpose the messages often need to be ordered. Since today more and more mobile devices are used message o...
Abstract-- The efficiency of a communication network depends not only on its control protocols, but also on the underlying network topology. We propose a distributed topology manag...