1707 search results - page 25 / 342 » A Boosting Algorithm for Regression |
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Boosting methods are known not to usually overfit training data even as the size of the generated classifiers becomes large. Schapire et al. attempted to explain this phenomenon i...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper, we extend the recently proposed Core Vector Machine algorithm to the regression setting by generalizing the underlying minimum enclosing ball problem. The resultant...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
In the solution path algorithm of support vector regression, the penalty for violation of the required error is considered equally for every training sample, which means every tra...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Online boosting methods have recently been used successfully for tracking, background subtraction etc. Conventional online boosting algorithms emphasize on interchanging new weak ...
SIGIR
1998
ACM
14 years 22 days ago
1998
ACM
We discuss two learning algorithms for text filtering: modified Rocchio and a boosting algorithm called AdaBoost. We show how both algorithms can be adapted to maximize any gene...