Boosting Lite - Handling Larger Datasets and Slower Base Classifiers.
Lawrence O. HallRobert E. BanfieldKevin W. BowyerW. Philip KegelmeyerPublished in: MCS (2007)
Keyphrases
- base classifiers
- ensemble methods
- multi class
- test data
- decision trees
- ensemble learning
- naive bayes
- benchmark datasets
- training set
- boosting algorithms
- ensemble classifier
- classifier combination
- random forest
- meta learning
- feature set
- class labels
- training samples
- classifier ensemble
- combining classifiers
- multiple classifier systems
- multiclass classification
- base learners
- machine learning methods
- training error
- artificial neural networks
- feature space
- feature extraction
- learning algorithm
- rotation forest
- majority voting
- random forests
- test set
- prediction accuracy
- classification accuracy
- feature selection