Model Selection Techniques: An Overview.
Jie DingVahid TarokhYuhong YangPublished in: IEEE Signal Process. Mag. (2018)
Keyphrases
- model selection
- cross validation
- hyperparameters
- bayesian learning
- sample size
- parameter estimation
- statistical learning
- machine learning
- mixture model
- generalization error
- regression model
- error estimation
- feature selection
- meta learning
- motion segmentation
- model selection criteria
- statistical inference
- selection criterion
- automatic model selection
- marginal likelihood
- gaussian process
- variable selection
- data sets
- generalization bounds
- information criterion
- decision trees
- hypothesis tests
- bayesian model selection
- high dimensional