288 search results - page 6 / 58 » Robust Regression and Lasso |
MCS
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. Stacked generalization is a flexible method for multiple classifier combination; however, it tends to overfit unless the combiner function is sufficiently smooth. Prev...
FGR
2011
IEEE
13 years 16 days ago
2011
IEEE
—Discriminant analysis, especially Fisherface and its numerous variants, have achieved great success in face recognition. However, these methods fail to work for face recognition...
IPMI
2011
Springer
13 years 14 days ago
2011
Springer
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
BMCBI
2006
13 years 9 months ago
2006
Background: Nonlinear regression, like linear regression, assumes that the scatter of data around the ideal curve follows a Gaussian or normal distribution. This assumption leads ...
JMLR
2012
11 years 11 months ago
2012
We consider the multiple-response regression problem, where the response is subject to sparse gross errors, in the high-dimensional setup. We propose a tractable regularized M-est...