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» Dependence Modeling for Stochastic Simulation
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QEST
2005
IEEE
15 years 10 months ago
An approximation algorithm for labelled Markov processes: towards realistic approximation
Abstract— Approximation techniques for labelled Markov processes on continuous state spaces were developed by Desharnais, Gupta, Jagadeesan and Panangaden. However, it has not be...
Alexandre Bouchard-Côté, Norm Ferns, ...
IPSN
2004
Springer
15 years 9 months ago
A probabilistic approach to inference with limited information in sensor networks
We present a methodology for a sensor network to answer queries with limited and stochastic information using probabilistic techniques. This capability is useful in that it allows...
Rahul Biswas, Sebastian Thrun, Leonidas J. Guibas
MWCN
2004
Springer
15 years 9 months ago
The Receiver's Dilemma
In Mobile Ad Hoc Networks (MANETs), each node has the capacity to act as a router. The performance of the MANET relies on how well the nodes perform this function. In simulations,...
John P. Mullen, Timothy Matis, Smriti Rangan
AUTOMATICA
2006
122views more  AUTOMATICA 2006»
15 years 4 months ago
Gibbs sampler-based coordination of autonomous swarms
In this paper a novel, Gibbs sampler-based algorithm is proposed for coordination of autonomous swarms. The swarm is modeled as a Markov random field (MRF) on a graph with a time-...
Wei Xi, Xiaobo Tan, John S. Baras
IJON
2000
99views more  IJON 2000»
15 years 4 months ago
Visualizing the visual system
As part of a forthcoming planetarium show about the human brain, we are producing realistic models of the central nervous system at a variety of scales, from whole brain images to...
Greg Hood, John Burkardt, Greg Foss