Boosting and Other Ensemble Methods.
Harris DruckerCorinna CortesLawrence D. JackelYann LeCunVladimir VapnikPublished in: Neural Comput. (1994)
Keyphrases
- ensemble methods
- prediction accuracy
- base classifiers
- random forests
- ensemble learning
- decision trees
- machine learning methods
- random forest
- benchmark datasets
- base learners
- generalization ability
- ensemble classification
- majority voting
- binary classification
- bootstrap sampling
- drifting concepts
- classifier ensemble
- boosting algorithms
- ensemble classifier
- randomized trees
- imbalanced data
- individual classifiers
- ensemble feature selection
- data mining