Hybridization of Base Classifiers of Random Subsample Ensembles for Enhanced Performance in High Dimensional Feature Spaces.
Santhosh PathicalGürsel SerpenPublished in: ICMLA (2010)
Keyphrases
- base classifiers
- high dimensional feature spaces
- base learners
- ensemble methods
- multi class
- decision trees
- ensemble learning
- training set
- high dimensional
- naive bayes
- high dimensional feature space
- random forest
- training samples
- data sets
- meta learning
- test data
- cost sensitive
- class labels
- ensemble classifier
- classifier ensemble
- high dimensional data
- feature set
- random forests
- feature space
- combining classifiers
- data mining
- input space
- machine learning methods
- subspace clustering
- classification algorithm
- prediction accuracy
- low dimensional
- benchmark datasets
- classification accuracy
- pairwise
- feature selection