Model Selection for Simplicial Approximation.
Claire CaillerieBertrand MichelPublished in: Found. Comput. Math. (2011)
Keyphrases
- model selection
- marginal likelihood
- cross validation
- hyperparameters
- parameter estimation
- bayesian learning
- statistical learning
- gaussian process
- error estimation
- feature selection
- statistical inference
- meta learning
- machine learning
- selection criterion
- variable selection
- motion segmentation
- sample size
- regression model
- mixture model
- generalization error
- likelihood function
- information criterion
- leave one out cross validation
- expectation propagation
- model selection criteria
- automatic model selection
- bayesian methods
- closed form
- support vector