11 search results - page 1 / 3 » Gaussian Covariance and Scalable Variational Inference |
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
JMLR
2010
12 years 11 months ago
2010
The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and prediction. GPs are specified by mean and covariance functions; we offer a library ...
JMLR
2010
12 years 11 months ago
2010
Interest in multioutput kernel methods is increasing, whether under the guise of multitask learning, multisensor networks or structured output data. From the Gaussian process pers...
NIPS
2008
13 years 6 months ago
2008
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...