Additive model selection.
Umberto AmatoAnestis AntoniadisItalia De FeisPublished in: Stat. Methods Appl. (2016)
Keyphrases
- model selection
- cross validation
- hyperparameters
- regression model
- parameter estimation
- sample size
- meta learning
- statistical learning
- machine learning
- selection criterion
- variable selection
- feature selection
- gaussian process
- bayesian learning
- error estimation
- marginal likelihood
- generalization error
- mixture model
- model selection criteria
- statistical inference
- motion segmentation
- learning algorithm
- leave one out cross validation
- automatic model selection
- bayesian information criterion
- data sets
- likelihood function
- prior knowledge
- probability distribution
- graphical models