81 search results - page 1 / 17 » Ridge Regression Learning Algorithm in Dual Variables |
ICML
1998
IEEE
14 years 5 months ago
1998
IEEE
NPL
2002
13 years 4 months ago
2002
Ridge regression is a classical statistical technique that attempts to address the bias-variance trade-off in the design of linear regression models. A reformulation of ridge regr...
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...
JMLR
2010
12 years 11 months ago
2010
In this paper we consider a regularization approach to variable selection when the regression function depends nonlinearly on a few input variables. The proposed method is based o...
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...