Predictive Discretization during Model Selection.
Harald SteckTommi S. JaakkolaPublished in: AISTATS (2007)
Keyphrases
- model selection
- cross validation
- sample size
- bayesian learning
- hyperparameters
- regression model
- parameter estimation
- machine learning
- statistical learning
- selection criterion
- mixture model
- motion segmentation
- error estimation
- generalization error
- multivariate regression
- model selection criteria
- statistical inference
- meta learning
- gaussian process
- variable selection
- feature selection
- information criterion
- marginal likelihood
- bayesian information criterion
- parameter determination
- automatic model selection
- probability distribution