727 search results - page 25 / 146 » On Bayesian model and variable selection using MCMC |
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We present a Bayesian search algorithm for learning the structure of latent variable models of continuous variables. We stress the importance of applying search operators designed...
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
ESANN
2008
14 years 11 months ago
2008
In regression problems, making accurate predictions is often the primary goal. Also, relevance of inputs in the prediction of an output would be valuable information in many cases....
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ICANN
2010
Springer
14 years 10 months ago
2010
Springer
With the term super-resolution we refer to the problem of reconstructing an image of higher resolution than that of unregistered and degraded observations. Typically, the reconstru...
CORR
2007
Springer
14 years 9 months ago
2007
Springer
Data from spectrophotometers form vectors of a large number of exploitable variables. Building quantitative models using these variables most often requires using a smaller set of...