Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles
Vitaly SchetininDerek PartridgeWojtek J. KrzanowskiRichard M. EversonJonathan E. FieldsendTrevor C. BaileyAdolfo HernandezPublished in: CoRR (2005)
Keyphrases
- experimental comparison
- feature selection
- machine learning
- support vector
- classification accuracy
- image classification
- decision trees
- generalization ability
- decision tree ensembles
- data sets
- decision theory
- text classification
- feature extraction
- feature set
- support vector machine
- support vector machine svm
- class labels
- machine learning methods
- ensemble methods
- classification models
- training set
- feature space
- training data