Multi-Objective Model Selection via Racing.
Tiantian ZhangMichael GeorgiopoulosGeorgios C. AnagnostopoulosPublished in: IEEE Trans. Cybern. (2016)
Keyphrases
- model selection
- multi objective
- cross validation
- evolutionary algorithm
- regression model
- hyperparameters
- parameter estimation
- objective function
- sample size
- mixture model
- genetic algorithm
- generalization error
- bayesian learning
- motion segmentation
- information criterion
- statistical inference
- gaussian process
- meta learning
- selection criterion
- error estimation
- model selection criteria
- feature selection
- statistical learning
- machine learning
- marginal likelihood
- data sets
- automatic model selection
- bayesian information criterion
- variable selection
- maximum likelihood
- hypothesis tests
- active learning
- bayesian model selection
- bayesian networks