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: IDEAL (2004)
Keyphrases
- experimental comparison
- feature selection
- decision theory
- feature extraction
- dempster shafer
- machine learning methods
- training set
- feature vectors
- classification accuracy
- support vector
- supervised learning
- image classification
- training samples
- machine learning algorithms
- classification algorithm
- decision trees
- generalization ability
- random forests
- data sets