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» Applying Monte Carlo Techniques to Language Identification
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CSDA
2010
118views more  CSDA 2010»
14 years 9 months ago
Grapham: Graphical models with adaptive random walk Metropolis algorithms
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
Matti Vihola
WSCG
2003
170views more  WSCG 2003»
14 years 10 months ago
Experimental System for Visualization of the Light Load
This paper presents our work on an experimental system for visualization of the light load. The light load is thought as the total amount of light radiation received by all areas ...
Martin Cadík, Pavel Slavík, Jan Prik...
127
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IVC
2008
141views more  IVC 2008»
14 years 9 months ago
Segmentation of color images via reversible jump MCMC sampling
Reversible jump Markov chain Monte Carlo (RJMCMC) is a recent method which makes it possible to construct reversible Markov chain samplers that jump between parameter subspaces of...
Zoltan Kato
SIAMSC
2008
149views more  SIAMSC 2008»
14 years 9 months ago
Adaptive Discrete Galerkin Methods Applied to the Chemical Master Equation
In systems biology, the stochastic description of biochemical reaction kinetics is increasingly being employed to model gene regulatory networks and signalling pathways. Mathematic...
Peter Deuflhard, Wilhelm Huisinga, T. Jahnke, Mich...
JMLR
2012
12 years 12 months ago
Bayesian Quadrature for Ratios
We describe a novel approach to quadrature for ratios of probabilistic integrals, such as are used to compute posterior probabilities. This approach offers performance superior t...
Michael A. Osborne, Roman Garnett, Stephen J. Robe...