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» A Guided Monte Carlo Approach to Optimization Problems
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ARC
2009
Springer
188views Hardware» more  ARC 2009»
15 years 4 months ago
Word-Length Optimization and Error Analysis of a Multivariate Gaussian Random Number Generator
Abstract. Monte Carlo simulation is one of the most widely used techniques for computationally intensive simulations in mathematical analysis and modeling. A multivariate Gaussian ...
Chalermpol Saiprasert, Christos-Savvas Bouganis, G...
ISMIR
2005
Springer
154views Music» more  ISMIR 2005»
15 years 3 months ago
Exploiting the Tradeoff Between Precision and Cpu-Time to Speed Up Nearest Neighbor Search
We describe a recursive algorithm to quickly compute the N nearest neighbors according to a similarity measure in a metric space. The algorithm exploits an intrinsic property of a...
Pierre Roy, Jean-Julien Aucouturier, Franço...
WSC
1998
14 years 11 months ago
Bayesian Model Selection when the Number of Components is Unknown
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
Russell C. H. Cheng
CSDA
2011
14 years 5 months ago
Mapping electron density in the ionosphere: A principal component MCMC algorithm
The outer layers of the Earth’s atmosphere are known as the ionosphere, a plasma of free electrons and positively charged atomic ions. The electron density of the ionosphere var...
Eman Khorsheed, Merrilee Hurn, Christopher Jenniso...
ICNP
2005
IEEE
15 years 3 months ago
Landmark Guided Forwarding
In this paper we focus on the problems of maintaining Ad Hoc network connectivity in the presence of node mobility whilst providing globally efficient and robust routing. The com...
Menghow Lim, Adam Chesterfield, Jon Crowcroft, Jul...