A comparison of quality measures for model selection in surrogate-assisted evolutionary algorithm.
Haibo YuYing TanChaoli SunJianchao ZengPublished in: Soft Comput. (2019)
Keyphrases
- model selection
- quality measures
- evolutionary algorithm
- cross validation
- hyperparameters
- parameter estimation
- bayesian learning
- error estimation
- mixture model
- machine learning
- sample size
- regression model
- variable selection
- selection criterion
- gaussian process
- model selection criteria
- information criterion
- generalization error
- statistical inference
- marginal likelihood
- feature selection
- bayesian information criterion
- parameter determination
- automatic model selection
- leave one out cross validation
- data mining
- genetic algorithm
- noise level