727 search results - page 4 / 146 » On Bayesian model and variable selection using MCMC |
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
86
Voted
ICML
2003
IEEE
15 years 2 months ago
2003
IEEE
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
96
Voted
SSPR
2004
Springer
15 years 3 months ago
2004
Springer
We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for...
110
click to vote
BMCBI
2008
14 years 9 months ago
2008
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
107
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JMLR
2012
13 years 2 days ago
2012
This paper proposes a new randomized strategy for adaptive MCMC using Bayesian optimization. This approach applies to nondifferentiable objective functions and trades off explor...