An incremental ensemble of classifiers.
Sotiris B. KotsiantisPublished in: Artif. Intell. Rev. (2011)
Keyphrases
- ensemble learning
- ensemble classifier
- classifier ensemble
- multiple classifiers
- ensemble pruning
- majority voting
- training data
- training set
- individual classifiers
- majority vote
- combining classifiers
- randomized trees
- multiple classifier systems
- final classification
- feature selection
- ensemble methods
- accurate classifiers
- rule induction algorithm
- incremental learning
- weak learners
- class label noise
- classification systems
- decision tree classifiers
- weighted voting
- ensemble members
- decision trees
- support vector
- concept drifting data streams
- machine learning algorithms
- imbalanced data
- pruning method
- neural network
- trained classifiers
- ensemble classification
- test set
- classifier combination
- weak classifiers
- base classifiers
- mining concept drifting data streams
- classifier fusion
- training examples
- learning algorithm
- classification algorithm
- publicly available data sets
- generalization ability
- linear support vector machines
- classification models
- bias variance decomposition
- random forest
- feature vectors
- random forests
- feature ranking
- support vector machine
- feature set
- training samples
- machine learning methods
- svm classifier