Some Thoughts at the Interface of Ensemble Methods and Feature Selection.
Gavin BrownPublished in: MCS (2010)
Keyphrases
- ensemble methods
- feature selection
- feature subset
- ensemble feature selection
- ensemble learning
- prediction accuracy
- ensemble classification
- random forests
- ensemble classifier
- benchmark datasets
- decision trees
- feature selection algorithms
- imbalanced data
- machine learning methods
- base classifiers
- random forest
- drifting concepts
- text categorization
- machine learning
- generalization ability
- feature set
- classifier ensemble
- bootstrap sampling
- base learners
- majority voting
- bias variance analysis
- genetic search
- decision tree ensembles
- naive bayes
- text classification
- classification accuracy
- feature space
- classification models
- training data
- feature extraction
- genetic algorithm