20 search results - page 1 / 4 » Using Regression Error Characteristic Curves for Model Selec... |
ESANN
2006
13 years 6 months ago
2006
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
ICONIP
2008
13 years 6 months ago
2008
Abstract. The concept of Ensemble Learning has been shown to increase predictive power over single base learners. Given the bias-variancecovariance decomposition, diversity is char...
AI
2002
Springer
13 years 4 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
NN
2008
Springer
13 years 4 months ago
2008
Springer
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
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...