A novel classifier ensemble method with sparsity and diversity.
Xu-Cheng YinKaizhu HuangHong-Wei HaoKhalid IqbalZhi-Bin WangPublished in: Neurocomputing (2014)
Keyphrases
- ensemble methods
- classifier ensemble
- ensemble members
- ensemble learning
- uci data sets
- decision trees
- individual classifiers
- prediction accuracy
- bootstrap sampling
- ensemble classifier
- random forests
- multilabel classification
- base classifiers
- machine learning methods
- benchmark datasets
- random forest
- generalization ability
- base learners
- classifier combination
- rotation forest
- feature subset
- high dimensional
- subspace methods
- decision tree learning
- training data
- classification algorithm