Using Imaginary Ensembles to Select GP Classifiers.
Ulf JohanssonRikard KönigTuve LöfströmLars NiklassonPublished in: EuroGP (2010)
Keyphrases
- genetic programming
- ensemble learning
- decision trees
- multiple classifier systems
- ensemble classifier
- diversity measures
- combining classifiers
- classifier ensemble
- weighted voting
- support vector
- imbalanced data
- training set
- ensemble methods
- classifier combination
- base classifiers
- majority voting
- naive bayes
- training data
- multiple classifiers
- machine learning algorithms
- decision stumps
- feature selection
- selection algorithm
- classification systems
- svm classifier
- classifier fusion
- feature ranking
- data sets
- trained classifiers
- feature set
- classification models
- machine learning methods
- linear classifiers
- test set
- cross validation
- neural network
- multi class
- ensemble members
- model selection
- training samples
- training examples
- random forest
- concept drift
- extracted features
- fusion methods
- meta learning