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» Heteroscedastic Gaussian process regression
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UAI
2008
15 years 1 months ago
Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression
We propose a variable decomposition algorithm
Liefeng Bo, Cristian Sminchisescu
MLCW
2005
Springer
15 years 5 months ago
Estimating Predictive Variances with Kernel Ridge Regression
In many regression tasks, in addition to an accurate estimate of the conditional mean of the target distribution, an indication of the predictive uncertainty is also required. Ther...
Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chap...
JMLR
2010
147views more  JMLR 2010»
14 years 6 months ago
Gaussian Processes for Machine Learning (GPML) Toolbox
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 ...
Carl Edward Rasmussen, Hannes Nickisch
ICONIP
2009
14 years 9 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa