Application of Predictive Model Selection to Coupled Models
Gabriel TerejanuTodd OliverChris SimmonsPublished in: CoRR (2011)
Keyphrases
- model selection
- cross validation
- parameter estimation
- hyperparameters
- sample size
- statistical learning
- model selection criteria
- bayesian learning
- regression model
- machine learning
- error estimation
- selection criterion
- statistical inference
- meta learning
- automatic model selection
- bayesian methods
- gaussian process
- variable selection
- probabilistic model
- generalization bounds
- feature selection
- bayesian framework
- mixture model
- active learning
- bayesian networks
- leave one out cross validation
- marginal likelihood
- bayesian approaches
- learning algorithm