Combining Bagging and Random Subspaces to Create Better Ensembles.
Pance PanovSaso DzeroskiPublished in: IDA (2007)
Keyphrases
- random subspaces
- random subspace
- random forest
- classifier fusion
- ensemble methods
- subspace methods
- random sampling
- ensemble learning
- nearest neighbor classifiers
- base classifiers
- majority voting
- random forests
- multiple classifier systems
- decision trees
- class imbalance
- feature set
- ensemble selection
- co training
- feature subspace
- classifier ensemble
- benchmark datasets
- ensemble members
- machine learning
- fusion scheme
- base learners
- ensemble classifier
- supervised learning
- individual classifiers
- combining multiple
- comparative analysis
- face recognition
- classification accuracy
- active learning
- learning machines
- feature space
- selective sampling
- principal component analysis
- training data
- multi label