727 search results - page 48 / 146 » On Bayesian model and variable selection using MCMC |
LION
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
ICIP
2009
IEEE
14 years 7 months ago
2009
IEEE
In this paper, a novel two-tier Bayesian based method is proposed for hair segmentation. In the first tier, we construct a Bayesian model by integrating hair occurrence prior prob...
CORR
2006
Springer
14 years 9 months ago
2006
Springer
We derive an exact and efficient Bayesian regression algorithm for piecewise constant functions of unknown segment number, boundary location, and levels. It works for any noise an...
SOFTWARE
2002
14 years 9 months ago
2002
We present a new approach to test selection in sequential diagnosis (or classification) in the independence Bayesian framework that resembles the hypothetico-deductive approach to ...
ISIPTA
2003
IEEE
15 years 3 months ago
2003
IEEE
We consider the statistical problem of analyzing the association between two categorical variables from cross-classified data. The focus is put on measures which enable one to st...