326 search results - page 1 / 66 » Bootstrap for neural model selection |
83
Voted
ESANN
2003
14 years 11 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...
55
Voted
ESANN
2000
14 years 11 months ago
2000
75
Voted
IWANN
2005
Springer
15 years 3 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...
91
Voted
TNN
2008
14 years 10 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...
87
Voted
NN
2000
Springer
14 years 10 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...