394 search results - page 73 / 79 » Estimation of Mixture Models Using Co-EM |
MA
2010
Springer
13 years 6 months ago
2010
Springer
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
BMCBI
2007
13 years 7 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...
CSDA
2007
13 years 7 months ago
2007
An important goal of microarray studies is the detection of genes that show significant changes in observed expressions when two or more classes of biological samples such as tre...
ICIP
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper a probabilistic technique for compensation of intensity loss in the confocal microscopy images is presented. Confocal microscopy images are modeled as a mixture of t...
MCS
2005
Springer
14 years 1 months ago
2005
Springer
Mixed Group Ranks is a parametric method for combining rank based classi ers that is eective for many-class problems. Its parametric structure combines qualities of voting methods...