: A framework for simultaneous model selection and assessment.
Martin EklundOla SpjuthJarl E. S. WikbergPublished in: BMC Bioinform. (2008)
Keyphrases
- model selection
- cross validation
- hyperparameters
- statistical inference
- parameter estimation
- statistical learning
- machine learning
- bayesian framework
- sample size
- meta learning
- regression model
- information criterion
- error estimation
- bayesian model selection
- bayesian learning
- variable selection
- selection criterion
- generalization error
- probability model
- motion segmentation
- marginal likelihood
- upper bound