Experimental comparisons of online and batch versions of bagging and boosting.
Nikunj C. OzaStuart J. RussellPublished in: KDD (2001)
Keyphrases
- batch mode
- ensemble methods
- ensemble learning
- ensemble classification
- base classifiers
- online algorithms
- online learning
- machine learning
- decision tree ensembles
- gradient boosting
- ensemble classifier
- learning algorithm
- randomized trees
- decision stumps
- random forest
- decision trees
- majority voting
- weak classifiers
- variance reduction
- random forests
- base learners
- batch learning
- text classification
- benchmark datasets
- supervised learning
- feature selection
- weak learners
- active learning
- real time
- semi supervised
- prediction accuracy