Evolving Sets of Symbolic Classifiers into a Single Symbolic Classifier Using Genetic Algorithms.
Flávia Cristina BernardiniRonaldo C. PratiMaria Carolina MonardPublished in: HIS (2008)
Keyphrases
- multiple classifiers
- svm classifier
- classifier systems
- training data
- linear classifiers
- support vector
- classifier combination
- classification process
- feature selection
- symbolic representation
- class labels
- supervised classification
- k nearest neighbour
- support vector machine
- genetic algorithm
- feature set
- decision trees
- majority voting
- individual classifiers
- ensemble classifier
- naive bayes classifier
- training instances
- final classification
- learning classifier systems
- classification rate
- classification method
- training samples
- training set
- classifier training
- highest accuracy
- nearest neighbor classifiers
- neural classifier
- rule based classifier
- connectionist systems
- classifier ensemble
- fold cross validation
- binary classifiers
- weak classifiers
- bayes classifier
- combining classifiers
- learning algorithm
- classification accuracy
- probabilistic classifiers
- trained classifiers
- classification algorithm
- optimum path forest
- ensemble learning
- extracted features
- nearest neighbour
- decision tree classifiers
- unseen data
- labeled training data