An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants.
Eric BauerRon KohaviPublished in: Mach. Learn. (1999)
Keyphrases
- support vector
- support vector machine
- feature selection
- classification accuracy
- cross validation
- learning algorithm
- generalization ability
- ensemble classifier
- majority voting
- ensemble methods
- related algorithms
- decision trees
- text classification
- machine learning
- classification algorithm
- binary classification problems
- decision tree learning algorithms
- active learning
- randomized trees
- decision stumps
- accurate classifiers
- machine learning methods
- benchmark datasets
- supervised learning
- feature space