56 search results - page 1 / 12 » Estimating Predictive Variances with Kernel Ridge Regression |
MLCW
2005
Springer
13 years 10 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...
ESANN
2003
2003
Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression
13 years 6 months ago
In this paper we extend a form of kernel ridge regression for data characterised by a heteroscedastic noise process (introduced in Foxall et al. [1]) in order to provide approxima...
DAGM
2008
Springer
13 years 6 months ago
2008
Springer
Abstract. This paper proposes a regression-based method for singleimage super-resolution. Kernel ridge regression (KRR) is used to estimate the high-frequency details of the underl...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Consider the online regression problem where the dependence of the outcome yt on the signal xt changes with time. Standard regression techniques, like Ridge Regression, d...
CSDA
2006
13 years 4 months ago
2006
A new method is proposed to estimate the nonlinear functions in an additive regression model. Usually, these functions are estimated by penalized least squares, penalizing the cur...