39 search results - page 1 / 8 » Bouligand Derivatives and Robustness of Support Vector Machi... |
JMLR
2008
13 years 4 months ago
2008
ACCV
2010
Springer
12 years 12 months ago
2010
Springer
Support Vector Regression (SVR) has been a long standing problem in machine learning, and gains its popularity on various computer vision tasks. In this paper, we propose a structu...
IGARSS
2010
13 years 2 months ago
2010
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...
CDC
2009
IEEE
13 years 8 months ago
2009
IEEE
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
ALT
2000
Springer
14 years 1 months ago
2000
Springer
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...