Attribute bagging: improving accuracy of classifier ensembles by using random feature subsets.
Robert K. BryllRicardo Gutierrez-OsunaFrancis K. H. QuekPublished in: Pattern Recognit. (2003)
Keyphrases
- classifier ensemble
- ensemble methods
- feature subset
- individual classifiers
- classification accuracy
- prediction accuracy
- ensemble members
- base classifiers
- generalization ability
- feature selection
- classification algorithm
- decision trees
- named entity recognition
- feature space
- training set
- ensemble learning
- data sets
- model selection
- image classification
- multi class
- ensemble classifier
- machine learning