326 search results - page 1 / 66 » Bootstrap for neural model selection |
ESANN
2003
13 years 6 months ago
2003
The bootstrap resampling method may be efficiently used to estimate the generalization error of a family of nonlinear regression models, as artificial neural networks. The main dif...
ESANN
2000
13 years 6 months ago
2000
IWANN
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. This paper presents k-NN as an approximator for time series prediction problems. The main advantage of this approximator is its simplicity. Despite the simplicity, k-NN c...
TNN
2008
13 years 5 months ago
2008
This paper addresses the problem of the optimal design of numerical experiments for the construction of nonlinear surrogate models. We describe a new method, called learner disagre...
NN
2000
Springer
13 years 5 months ago
2000
Springer
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...