Predictive Discretization During Model Selection.
Harald SteckTommi S. JaakkolaPublished in: DAGM-Symposium (2004)
Keyphrases
- model selection
- cross validation
- hyperparameters
- machine learning
- regression model
- meta learning
- parameter estimation
- feature selection
- bayesian learning
- selection criterion
- mixture model
- variable selection
- statistical learning
- gaussian process
- sample size
- motion segmentation
- error estimation
- generalization bounds
- leave one out cross validation
- multivariate regression
- generalization error
- statistical inference
- data sets
- support vector
- model selection criteria
- continuous variables
- probability model
- maximum likelihood
- bayesian information criterion
- training data
- marginal likelihood
- automatic model selection