56 search results - page 2 / 12 » Estimating Predictive Variances with Kernel Ridge Regression |
JMLR
2010
13 years 3 days ago
2010
Fisher linear discriminant analysis (FDA) and its kernel extension--kernel discriminant analysis (KDA)--are well known methods that consider dimensionality reduction and classific...
CSDA
2007
13 years 5 months ago
2007
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approac...
ICIP
2006
IEEE
14 years 7 months ago
2006
IEEE
We propose a simple nonparametric linear regression tool, known as kernel regression (KR), to estimate the illumination chromaticity. We design a Gaussian kernel whose bandwidth i...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
COLT
2007
Springer
13 years 11 months ago
2007
Springer
In the multi-view regression problem, we have a regression problem where the input variable (which is a real vector) can be partitioned into two different views, where it is assum...