18 search results - page 1 / 4 » A bayesian mixture model with linear regression mixing propo... |
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
CSDA
2010
13 years 5 months ago
2010
We extend the standard mixture of linear regressions model by allowing mixing proportions to be modeled nonparametrically as a function of the predictors. This framework allows fo...
JMLR
2011
12 years 12 months ago
2011
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
TIP
2010
12 years 11 months ago
2010
Abstract--A new Bayesian model is proposed for image segmentation based upon Gaussian mixture models (GMM) with spatial smoothness constraints. This model exploits the Dirichlet co...
CSDA
2010
13 years 5 months ago
2010
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...