Keyphrases
- model selection
- kolmogorov complexity
- inductive inference
- cross validation
- hyperparameters
- bayesian learning
- parameter estimation
- machine learning
- regression model
- sample size
- variable selection
- error estimation
- complexity measures
- leave one out cross validation
- model selection criteria
- generalization error
- selection criterion
- statistical inference
- mixture model
- bayesian model selection
- feature selection
- information criterion
- learning algorithm
- marginal likelihood
- gaussian process
- bayesian information criterion
- learning paradigms
- learning tasks
- unsupervised learning
- em algorithm
- automatic model selection