The impact of random samples in ensemble classifiers.
Paulo FernandesLucelene LopesDuncan Dubugras A. RuizPublished in: SAC (2010)
Keyphrases
- ensemble classifier
- random samples
- uniform distribution
- random sampling
- standard deviation
- sample size
- ensemble learning
- base classifiers
- fusion method
- ensemble methods
- random forest
- concept drift
- feature selection
- decision trees
- support vector machine
- classifier ensemble
- information fusion
- classification models
- generalization ability
- feature subset
- text categorization
- random projections
- active learning
- preprocessing