47 search results - page 3 / 10 » A Regularization Approach to Nonlinear Variable Selection |
CSDA
2007
13 years 5 months ago
2007
A new method for function estimation and variable selection, specifically designed for additive models fitted by cubic splines is proposed.This new method involves regularizing ...
COCOS
2003
Springer
13 years 10 months ago
2003
Springer
We investigate some approaches to solving nonconvex global optimization problems by convex nonlinear programming methods. We assume that the problem becomes convex when selected va...
ESANN
2006
13 years 6 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
Recently, nonlinear shape models have been shown to improve the robustness and flexibility of segmentation. In this paper, we propose Shape Regularized Active Contour (ShRAC) that...
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
A novel adaptive and patch-based approach is proposed for image regularization and representation. The method is unsupervised and based on a pointwise selection of small image patc...