Parameterized cross-validation for nonlinear regression models.
Imhoi KooNamgil LeeRhee Man KilPublished in: Neurocomputing (2008)
Keyphrases
- regression model
- cross validation
- model selection
- generalized linear
- hyperparameters
- variable selection
- regression methods
- regression problems
- regression analysis
- prediction model
- generalization error
- information criterion
- sample size
- support vector
- linear model
- gaussian process
- explanatory variables
- multivariate regression
- regression trees
- support vector regression
- cross validated
- bayesian networks
- machine learning
- training set
- target variable
- multiple linear regression
- feature selection
- discriminant analysis
- regression method
- artificial neural networks
- error estimates