Choosing Parameters for Random Subspace Ensembles for fMRI Classification.
Ludmila I. KunchevaCatrin O. PlumptonPublished in: MCS (2010)
Keyphrases
- random subspace
- classifier fusion
- random forest
- nearest neighbor classifiers
- subspace methods
- random subspaces
- random sampling
- majority voting
- decision trees
- ensemble methods
- classifier ensemble
- feature subspace
- base classifiers
- classification accuracy
- random forests
- ensemble learning
- multiple classifier systems
- nearest neighbor classification
- generalization ability
- classification algorithm
- class labels
- benchmark datasets
- comparative analysis
- support vector
- support vector machine svm
- machine learning methods
- text classification
- ensemble classifier
- pattern recognition
- classification systems
- linear discriminant analysis
- image classification
- feature extraction
- feature vectors
- feature selection
- machine learning