A Boosting Approach to Constructing an Ensemble Stack.
Zhilei ZhouZiyu QiuBrad NiblettAndrew JohnstonJeffrey SchwartzentruberNur Zincir-HeywoodMalcolm I. HeywoodPublished in: EuroGP (2023)
Keyphrases
- ensemble learning
- ensemble methods
- weak learners
- base classifiers
- ensemble classification
- ensemble classifier
- weak classifiers
- learning algorithm
- majority voting
- base learners
- random forests
- feature selection
- random forest
- decision tree ensembles
- randomized trees
- multiple classifier systems
- prediction accuracy
- decision trees
- negative correlation learning
- multi class
- benchmark datasets
- ensemble members
- generalization ability
- boosting algorithms
- training set
- machine learning
- strong classifier
- concept drift
- training data
- classifier ensemble
- weighted voting
- decision stumps
- machine learning methods