Model Selection and Overfitting in Genetic Programming: Empirical Study.
Jan ZegklitzPetr PosíkPublished in: GECCO (Companion) (2015)
Keyphrases
- empirical studies
- model selection
- genetic programming
- cross validation
- generalization error
- hyperparameters
- fitness function
- parameter estimation
- evolutionary algorithm
- bayesian learning
- variable selection
- regression model
- sample size
- empirical analysis
- machine learning
- mixture model
- motion segmentation
- statistical learning
- meta learning
- feature selection
- selection criterion
- statistical inference
- model selection criteria
- genetic algorithm
- unsupervised learning
- gaussian process
- error estimation
- information criterion
- marginal likelihood
- automatic model selection
- bayesian methods
- learning machines
- decision trees
- theoretical analysis