Incorporating Prior Information in Optimal Design for Model Selection.
Derek R. BinghamHugh A. ChipmanPublished in: Technometrics (2007)
Keyphrases
- optimal design
- prior information
- model selection
- hyperparameters
- cross validation
- bayesian inference
- prior knowledge
- sample size
- bayesian learning
- regression model
- mixture model
- meta learning
- error estimation
- parameter estimation
- statistical inference
- machine learning
- information criterion
- generalization error
- motion segmentation
- model selection criteria
- selection criterion
- marginal likelihood
- automatic model selection
- gaussian process
- statistical learning
- variable selection
- feature selection
- image segmentation
- bayesian methods
- probability distribution
- parameter determination