The monitoring and control of any dynamic system depends crucially on the ability to reason about its current status and its future trajectory. In the case of a stochastic system,...
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
Widespread access to the Internet has led to the formation of geographically dispersed scientific communities collaborating through the network. The tools supporting such collabor...
Over the last two decades a considerable amount of effort has been put in the development and application of matrix geometric techniques for the analysis of queueing systems of wh...
Boudewijn R. Haverkort, Aad P. A. van Moorsel, Dir...
We describe the lockingarchitecture of a new operating system, HURRICANE, designed for large scale shared-memory multiprocessors. Many papers already describe kernel lockingtechni...
Ronald C. Unrau, Orran Krieger, Benjamin Gamsa, Mi...