On model selection in SLT and linear basis neural networks.
Arturo Hernández AguirreCris KoutsougerasBill P. BucklesPublished in: IJCNN (1999)
Keyphrases
- model selection
- neural network
- cross validation
- sample size
- hyperparameters
- regression model
- bayesian learning
- parameter estimation
- error estimation
- motion segmentation
- statistical learning
- generalization error
- statistical inference
- mixture model
- marginal likelihood
- feature selection
- machine learning
- information criterion
- model selection criteria
- variable selection
- meta learning
- selection criterion
- bayesian information criterion
- decision trees
- support vector
- image segmentation