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PAKDD
2007
ACM
128views Data Mining» more  PAKDD 2007»
13 years 12 months ago
Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal
Recent work shows that Support vector machines (SVMs) can be solved efficiently in the primal. This paper follows this line of research and shows how to build sparse support vector...
Liefeng Bo, Ling Wang, Licheng Jiao
EOR
2008
99views more  EOR 2008»
13 years 5 months ago
Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions
We present a new method, called UTAGMS , for multiple criteria ranking of alternatives from set A using a set of additive value functions which result from an ordinal regression. ...
Salvatore Greco, Vincent Mousseau, Roman Slowinski
ICPR
2008
IEEE
14 years 5 days ago
Weighted solution path algorithm of support vector regression for abnormal data
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...
Wen-tao Mao, Long-lei Dong, Gang Zhang
IGARSS
2010
13 years 3 months ago
Support vector machines regression for estimation of forest parameters from airborne laser scanning data
Estimation of forest stand parameters from airborne laser scanning data relies on the selection of laser metrics sets and numerous field plots for model calibration. In mountainou...
Jean-Matthieu Monnet, Frédéric Berge...
ICML
2010
IEEE
13 years 6 months ago
One-sided Support Vector Regression for Multiclass Cost-sensitive Classification
We propose a novel approach that reduces cost-sensitive classification to one-sided regression. The approach stores the cost information in the regression labels and encodes the m...
Han-Hsing Tu, Hsuan-Tien Lin