727 search results - page 38 / 146 » On Bayesian model and variable selection using MCMC |
IROS
2008
IEEE
15 years 4 months ago
2008
IEEE
— In order to be truly autonomous, robots that operate in natural, populated environments must have the ability to create a model of these unpredictable dynamic environments and ...
NECO
1998
14 years 9 months ago
1998
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...
CORR
2002
Springer
14 years 9 months ago
2002
Springer
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
BMCBI
2010
14 years 9 months ago
2010
Background: The information provided by dense genome-wide markers using high throughput technology is of considerable potential in human disease studies and livestock breeding pro...
106
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AROBOTS
2011
14 years 4 months ago
2011
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...