168 search results - page 1 / 34 » Boosting ridge regression |
CSDA
2007
13 years 7 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...
ISBI
2011
IEEE
12 years 11 months ago
2011
IEEE
Most algorithms used for imaging genetics examine statistical effects of each individual genetic variant, one at a time. We developed a new approach, based on ridge regression, to...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
This paper proposes a general boosting framework for combining multiple kernel models in the context of both classification and regression problems. Our main approach is built on...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
NPL
2002
13 years 7 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...