727 search results - page 21 / 146 » On Bayesian model and variable selection using MCMC |
101
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UAI
2001
14 years 11 months ago
2001
In this paper we present a method of computing the posterior probability of conditional independence of two or more continuous variables from data, examined at several resolutions...
AAAI
2006
14 years 11 months ago
2006
Localization is a fundamental challenge for autonomous robotics. Although accurate and efficient techniques now exist for solving this problem, they require explicit probabilistic...
ECSQARU
2005
Springer
15 years 3 months ago
2005
Springer
In a Bayesian network with continuous variables containing a variable(s) that is a conditionally deterministic function of its continuous parents, the joint density function for t...
BMCBI
2007
14 years 9 months ago
2007
Background: With the explosion in data generated using microarray technology by different investigators working on similar experiments, it is of interest to combine results across...
101
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UAI
2003
14 years 11 months ago
2003
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...