Using Artificial Intelligence for Model Selection
Darin GoldsteinWilliam MurrayBinh YangPublished in: CoRR (2003)
Keyphrases
- model selection
- artificial intelligence
- cross validation
- hyperparameters
- machine learning
- bayesian learning
- parameter estimation
- sample size
- statistical learning
- mixture model
- feature selection
- meta learning
- error estimation
- motion segmentation
- regression model
- statistical inference
- variable selection
- gaussian process
- model selection criteria
- information criterion
- selection criterion
- marginal likelihood
- parameter determination
- leave one out cross validation
- bayesian model selection
- bayesian methods
- generalization bounds
- likelihood function
- posterior distribution
- hypothesis tests
- generalization error
- mutual information
- real world