Bootstrap bias corrections for ensemble methods.
Giles HookerLucas MentchPublished in: Stat. Comput. (2018)
Keyphrases
- ensemble methods
- bootstrap sampling
- bias variance analysis
- prediction accuracy
- benchmark datasets
- ensemble learning
- random forest
- decision trees
- machine learning methods
- random forests
- base classifiers
- generalization ability
- knn
- drifting concepts
- cross validation
- k nearest neighbor
- ensemble members
- decision tree ensembles
- majority voting
- base learners
- ensemble classifier
- multiple models
- machine learning algorithms
- support vector
- feature extraction
- neural network
- data sets