Keyphrases
- ensemble methods
- ensemble learning
- base classifiers
- ensemble classification
- gradient boosting
- randomized trees
- weak classifiers
- random forest
- ensemble classifier
- majority voting
- rotation forest
- prediction accuracy
- base learners
- decision stumps
- decision trees
- random forests
- variance reduction
- decision tree ensembles
- training set
- neural network ensembles
- learning algorithm
- machine learning methods
- tree induction
- benchmark datasets
- multi class
- machine learning
- weak learners
- binary classification
- generalization ability
- classifier ensemble
- data sets
- naive bayes
- feature selection
- decision tree learning algorithms
- learning machines
- weighted voting
- meta learning
- sample size
- logistic regression
- upper bound