Ensemble Techniques for Parallel Genetic Programming Based Classifiers.
Gianluigi FolinoClara PizzutiGiandomenico SpezzanoPublished in: EuroGP (2003)
Keyphrases
- genetic programming
- ensemble learning
- ensemble classifier
- regression problems
- multiple classifiers
- training data
- classifier ensemble
- ensemble pruning
- training set
- majority voting
- symbolic regression
- final classification
- decision trees
- fitness function
- decision tree classifiers
- gene expression programming
- combining classifiers
- ensemble methods
- evolutionary computation
- individual classifiers
- majority vote
- accurate classifiers
- randomized trees
- ensemble classification
- training samples
- feature selection
- class label noise
- weighted voting
- genetic algorithm
- trained classifiers
- support vector
- neural network
- multiple classifier systems
- evolutionary algorithm
- base classifiers
- parallel processing
- weak learners
- ensemble members
- mining concept drifting data streams
- grammar guided genetic programming
- one class support vector machines
- naive bayes
- rule induction algorithm
- linear classifiers
- concept drifting data streams
- weak classifiers
- feature ranking
- imbalanced data
- class labels
- svm classifier
- financial forecasting
- machine learning algorithms
- machine learning methods
- roc curve
- shared memory
- bias variance decomposition