Using Boosting to prune Double-Bagging ensembles.
Chun-Xia ZhangJiang-She ZhangGai-Ying ZhangPublished in: Comput. Stat. Data Anal. (2009)
Keyphrases
- ensemble methods
- ensemble learning
- base classifiers
- base learners
- decision tree ensembles
- rotation forest
- prediction accuracy
- negative correlation learning
- decision stumps
- random forests
- ensemble members
- ensemble classifier
- decision trees
- random forest
- ensemble classification
- machine learning methods
- benchmark datasets
- majority voting
- search space
- weak learners
- weighted voting
- error function
- generalization ability
- classification error
- randomized trees
- imbalanced data
- training set
- classifier ensemble
- ensemble selection
- meta learning
- subspace methods
- learning scheme
- boosting algorithms
- weak classifiers
- loss function
- naive bayes
- learning algorithm
- training process
- cost sensitive
- random subspace
- unlabeled data
- semi supervised
- neural network ensembles
- training data
- feature selection