From Ensemble of Fuzzy Classifiers to Single Fuzzy Rule Base Classifier.
Marcin KorytkowskiLeszek RutkowskiRafal SchererPublished in: ICAISC (2008)
Keyphrases
- fuzzy rules
- base classifiers
- ensemble learning
- ensemble classifier
- classifier ensemble
- ensemble methods
- decision trees
- naive bayes
- classifier combination
- membership functions
- combining classifiers
- individual classifiers
- fuzzy sets
- training set
- fuzzy systems
- rotation forest
- fuzzy classifier
- multi class
- fuzzy logic
- random forest
- class labels
- training samples
- fuzzy reasoning
- multiple classifier systems
- rule base
- multiple classifiers
- decision boundary
- majority voting
- feature set
- fuzzy model
- error correcting output codes
- test data
- fuzzy rule based systems
- fuzzy membership functions
- training data
- machine learning methods
- base learners
- prediction accuracy
- machine learning algorithms
- subspace methods
- fuzzy rule bases
- decision stumps
- data sets
- text categorization
- rough sets
- training instances
- cost sensitive
- svm classifier
- artificial neural networks
- support vector
- image processing
- learning algorithm
- neural network