Genetic programming is naturally suited to evolve bagging ensembles.
Marco VirgolinPublished in: GECCO (2021)
Keyphrases
- genetic programming
- ensemble methods
- ensemble selection
- ensemble learning
- imbalanced data
- neural network ensembles
- random forests
- base classifiers
- ensemble members
- decision trees
- rotation forest
- random forest
- fitness function
- base learners
- evolutionary computation
- tree ensembles
- symbolic regression
- decision tree ensembles
- regression problems
- ensemble classifier
- classifier ensemble
- prediction accuracy
- evolutionary algorithm
- financial forecasting
- selection strategy
- weighted voting
- machine learning methods
- majority voting
- benchmark datasets
- variable selection
- gene expression programming
- genetic algorithm
- learning machines
- generalization ability
- parameter settings
- ensemble classification
- negative correlation learning
- evolutionary process
- decision stumps
- naive bayes
- machine learning
- grammar guided genetic programming
- regression trees
- feature subset
- learning tasks
- machine learning algorithms
- randomized trees
- training set