Model selection in genetic programming.
Cruz E. BorgesCésar Luis AlonsoJosé L. MontañaPublished in: GECCO (2010)
Keyphrases
- model selection
- genetic programming
- cross validation
- fitness function
- hyperparameters
- bayesian learning
- parameter estimation
- regression model
- sample size
- mixture model
- evolutionary algorithm
- statistical learning
- statistical inference
- meta learning
- gaussian process
- error estimation
- selection criterion
- learning machines
- genetic algorithm
- generalization error
- variable selection
- model selection criteria
- leave one out cross validation
- machine learning
- feature selection
- motion segmentation
- bayesian information criterion
- hypothesis tests
- parameter determination
- high dimensional
- generalization bounds
- mutual information
- latent variables
- information criterion
- automatic model selection
- multivariate regression