Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks.
Aloísio Carlos de PinaGerson ZaveruchaPublished in: ESANN (2006)
Keyphrases
- model selection
- neural network
- generalization error
- error estimation
- cross validation
- regression model
- learning machines
- sample size
- hyperparameters
- parameter estimation
- bayesian learning
- meta learning
- hypothesis tests
- feature selection
- selection criterion
- model selection criteria
- variable selection
- back propagation
- artificial neural networks
- gaussian process
- statistical inference
- mixture model
- information criterion
- decision trees
- parameter determination
- ensemble learning
- marginal likelihood
- ensemble methods
- automatic model selection
- multivariate regression
- leave one out cross validation
- learning tasks
- machine learning