Model Selection in Omnivariate Decision Trees.
Olcay Taner YildizEthem AlpaydinPublished in: ECML (2005)
Keyphrases
- model selection
- decision trees
- machine learning
- cross validation
- hyperparameters
- bayesian learning
- parameter estimation
- naive bayes
- sample size
- selection criterion
- regression model
- meta learning
- feature selection
- statistical inference
- machine learning algorithms
- error estimation
- statistical learning
- model selection criteria
- gaussian process
- random forest
- mixture model
- variable selection
- generalization error
- training set
- parameter determination
- base classifiers
- motion segmentation
- active learning
- gaussian mixture model
- supervised learning
- generalization bounds
- high dimensional
- leave one out cross validation
- training data
- data sets