Model selection: Two fundamental measures of coherence and their algorithmic significance.
Waheed U. BajwaA. Robert CalderbankSina JafarpourPublished in: ISIT (2010)
Keyphrases
- model selection
- cross validation
- hyperparameters
- bayesian learning
- sample size
- parameter estimation
- regression model
- machine learning
- statistical learning
- feature selection
- model selection criteria
- variable selection
- generalization error
- error estimation
- meta learning
- marginal likelihood
- gaussian process
- information criterion
- motion segmentation
- selection criterion
- leave one out cross validation
- parameter determination
- support vector
- data mining
- decision trees