Model Selection Using Conditional Densities.
Alberto Contreras-CristánJosé M. González-BarriosPublished in: Commun. Stat. Simul. Comput. (2007)
Keyphrases
- model selection
- cross validation
- hyperparameters
- parameter estimation
- mixture model
- selection criterion
- bayesian learning
- sample size
- probability density function
- gaussian process
- regression model
- error estimation
- variable selection
- statistical learning
- statistical inference
- machine learning
- information criterion
- motion segmentation
- feature selection
- meta learning
- leave one out cross validation
- model selection criteria
- generalization error
- conditional probabilities
- marginal likelihood
- maximum likelihood
- feature space
- bayesian networks
- bayesian information criterion
- data sets
- multivariate regression