This paper describes the design and implementation of MPI-SIM, a library for the execution driven parallel simulation of MPI programs. MPI-LITE, a portable library that supports m...
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, ...
This paper introduces some preliminary results of the standardization process of ITU-T's H.26L project. This forthcoming video coding standard will not only significantly imp...
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
In [Dague, 1993], a formal system ROM(K) involving four relations has been defined to reason with relative orders of magnitude. In this paper, problems of introducing quantitative...