Boosting Technique for Combining Cellular GP Classifiers.
Gianluigi FolinoClara PizzutiGiandomenico SpezzanoPublished in: EuroGP (2004)
Keyphrases
- multiple classifier systems
- genetic programming
- ensemble learning
- combining classifiers
- combining multiple
- ensemble classifier
- randomized trees
- feature selection
- multiple classifiers
- boosting algorithms
- improving classification accuracy
- majority voting
- weak classifiers
- weak learners
- training set
- strong classifier
- individual classifiers
- decision trees
- cellular automata
- decision stumps
- multiclass classification
- support vector
- boosting framework
- linear classifiers
- boosted classifiers
- weighted voting
- base classifiers
- ensemble methods
- accurate classifiers
- classifier combination
- svm classifier
- training data
- ensemble classification
- test set
- machine learning methods
- classification algorithm
- logistic regression
- learning algorithm
- bayesian classifiers
- adaboost algorithm
- classification accuracy
- naive bayes
- classification systems
- training examples
- fitness function