868 search results - page 1 / 174 » On the Noise Model of Support Vector Machines Regression |
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),...
CDC
2010
IEEE
12 years 12 months ago
2010
IEEE
In the identification of nonlinear dynamical models it may happen that not only the system dynamics have to be modeled but also the noise has a dynamic character. We show how to ad...
ICML
2001
IEEE
14 years 5 months ago
2001
IEEE
In this paper, we propose a unified non-quadratic loss function for regression known as soft insensitive loss function (SILF). SILF is a flexible model and possesses most of the d...
CVPR
2010
IEEE
13 years 5 months ago
2010
IEEE
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
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...