394 search results - page 12 / 79 » Estimation of Mixture Models Using Co-EM |
IJAR
2010
14 years 10 months ago
2010
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
130
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SSPR
2010
Springer
14 years 10 months ago
2010
Springer
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
BMCBI
2008
14 years 11 months ago
2008
Background: Choosing the appropriate sample size is an important step in the design of a microarray experiment, and recently methods have been proposed that estimate sample sizes ...
110
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ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
In this study, we investigate online Bayesian estimation of the measurement noise density of a given state space model using particle filters and Dirichlet process mixtures. Diri...
ICASSP
2007
IEEE
15 years 6 months ago
2007
IEEE
— Within-subject analysis in event-related functional Magnetic Resonance Imaging (fMRI) first relies on (i) a detection step to localize which parts of the brain are activated b...