19 search results - page 1 / 4 » Estimating the error at given test input points for linear r... |
NCI
2004
13 years 6 months ago
2004
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
JMLR
2006
13 years 4 months ago
2006
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
COLT
1995
Springer
13 years 8 months ago
1995
Springer
The Noise Sensitivity Signature (NSS), originally introduced by Grossman and Lapedes (1993), was proposed as an alternative to cross validation for selecting network complexity. I...
TIP
2008
13 years 4 months ago
2008
Abstract--Local learning methods, such as local linear regression and nearest neighbor classifiers, base estimates on nearby training samples, neighbors. Usually, the number of nei...
GECCO
2010
Springer
13 years 8 months ago
2010
Springer
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...