206 search results - page 1 / 42 » Boosting Kernel Models for Regression |
ICDM
2006
IEEE
14 years 5 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...
IDEAL
2004
Springer
14 years 4 months ago
2004
Springer
A novel technique is presented to construct sparse regression models based on the orthogonal least square method with boosting. This technique tunes the mean vector and diagonal c...
KDD
2004
ACM
14 years 11 months ago
2004
ACM
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
NPL
2002
13 years 10 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...
MCS
2002
Springer
13 years 10 months ago
2002
Springer