164 search results - page 9 / 33 » Heteroscedastic Gaussian process regression |
121
Voted
UAI
2008
15 years 5 months ago
2008
We propose a variable decomposition algorithm
NECO
2006
15 years 3 months ago
2006
137
Voted
MLCW
2005
Springer
15 years 9 months ago
2005
Springer
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...
138
Voted
JMLR
2010
14 years 10 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 ...
136
Voted
ICONIP
2009
15 years 1 months ago
2009
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...