308 search results - page 11 / 62 » Bayesian Classification With Gaussian Processes |
JCST
2010
14 years 8 months ago
2010
In the Bayesian mixture modeling framework it is possible to infer the necessary number of components to model the data and therefore it is unnecessary to explicitly restrict the n...
CSDA
2004
14 years 9 months ago
2004
In this paper, the problem of time series prediction is studied. A Bayesian procedure based on Gaussian process models using a nonstationary covariance function is proposed. Exper...
ICIP
2003
IEEE
15 years 11 months ago
2003
IEEE
Background subtraction is an essential processing component for many video applications. However, its development has largely been application driven and done in ad hoc manners. I...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We consider the problem of multi-task learning, that is, learning multiple related functions. Our approach is based on a hierarchical Bayesian framework, that exploits the equival...
NIPS
2000
14 years 11 months ago
2000
We develop an approach for a sparse representation for Gaussian Process (GP) models in order to overcome the limitations of GPs caused by large data sets. The method is based on a...