Adapting Bagging and Boosting to Learning Classifier Systems.
Yi LiuWill N. BrowneBing XuePublished in: EvoApplications (2018)
Keyphrases
- learning classifier systems
- ensemble methods
- ensemble learning
- base classifiers
- ensemble classification
- randomized trees
- gradient boosting
- classifier systems
- weak classifiers
- ensemble classifier
- decision trees
- decision tree ensembles
- majority voting
- decision stumps
- base learners
- prediction accuracy
- benchmark datasets
- genetic algorithm
- reinforcement learning
- weak learners
- random forest
- evolutionary algorithm
- evolutionary computation
- random forests
- real valued
- machine learning
- variance reduction
- multi class
- learning algorithm
- machine learning systems
- machine learning methods
- rule sets
- neural network
- training set
- class labels
- boosting algorithms
- artificial intelligence
- training data
- expert systems
- knn