Graph-Based Model-Selection Framework for Large Ensembles.
Krisztian BuzaAlexandros NanopoulosLars Schmidt-ThiemePublished in: HAIS (1) (2010)
Keyphrases
- model selection
- cross validation
- statistical inference
- hyperparameters
- parameter estimation
- regression model
- bayesian learning
- machine learning
- bayesian methods
- statistical learning
- mixture model
- sample size
- selection criterion
- marginal likelihood
- bayesian model selection
- data mining
- error estimation
- model selection criteria
- closed form
- posterior probability
- motion segmentation
- generalization error
- graphical models
- feature selection
- generalization bounds
- automatic model selection