Variable Selection in Classification Trees Based on Imprecise Probabilities.
Carolin StroblPublished in: ISIPTA (2005)
Keyphrases
- variable selection
- classification trees
- imprecise probabilities
- logistic regression models
- decision trees
- bayesian networks
- training data
- logistic regression
- high dimensional
- cross validation
- inductive learning
- linear models
- regression trees
- model selection
- training set
- data sets
- dimension reduction
- high dimensional data
- probabilistic graphical models
- rough sets
- random forests
- regression model
- dimensionality reduction
- active learning