95 search results - page 5 / 19 » A Bayesian nonparametric method for prediction in EST analys... |
BMCBI
2007
13 years 8 months ago
2007
Background: Microarrays are widely used for the study of gene expression; however deciding on whether observed differences in expression are significant remains a challenge. Resul...
BMCBI
2006
13 years 8 months ago
2006
Background: A number of methods that use both protein structural and evolutionary information are available to predict the functional consequences of missense mutations. However, ...
BMCBI
2010
13 years 3 months ago
2010
Background: Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors f...
ACL
2011
13 years 4 days ago
2011
We propose a non-parametric Bayesian model for unsupervised semantic parsing. Following Poon and Domingos (2009), we consider a semantic parsing setting where the goal is to (1) d...
ESSMAC
2003
Springer
14 years 1 months ago
2003
Springer
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...