Recognition of Colon Cells Using Ensemble of Classifiers.
Michal KrukStanislaw OsowskiRobert KoktyszPublished in: IJCNN (2007)
Keyphrases
- ensemble learning
- ensemble classifier
- multiple classifiers
- classifier ensemble
- training set
- training data
- ensemble pruning
- recognition rate
- ensemble methods
- decision trees
- majority voting
- combining classifiers
- weighted voting
- individual classifiers
- recognition accuracy
- naive bayes
- multiple classifier systems
- base classifiers
- pattern recognition
- final classification
- majority vote
- handwritten digit recognition
- concept drifting data streams
- class label noise
- imbalanced data
- randomized trees
- improve recognition accuracy
- object recognition
- random forest
- recognition algorithm
- feature selection
- mining concept drifting data streams
- classifier combination
- learning algorithm
- accurate classifiers
- decision tree classifiers
- ensemble members
- rule induction algorithm
- diversity measures
- automatic recognition
- ct colonography
- classification algorithm
- linear classifiers
- feature extraction
- neural network
- feature set
- one class support vector machines
- trained classifiers
- classification accuracy
- text classification
- training samples
- random forests
- combining multiple
- feature ranking