CHADE: Metalearning with Classifier Chains for Dynamic Combination of Classifiers.
Fábio PintoCarlos SoaresJoão Mendes-MoreiraPublished in: ECML/PKDD (1) (2016)
Keyphrases
- classifier combination
- combining classifiers
- linear classifiers
- classification decisions
- multiple classifiers
- multiple classifier systems
- training data
- individual classifiers
- support vector
- decision trees
- nearest neighbor classifier
- feature set
- classification process
- training set
- classifier systems
- combining multiple
- class labels
- classification algorithm
- feature selection
- majority vote
- rule based classifier
- classification rate
- svm classifier
- learning classifier systems
- ensemble classifier
- decision tree classifiers
- higher classification accuracy
- accurate classifiers
- classifier training
- training examples
- classification models
- multi class
- training instances
- ensemble learning
- k nearest neighbour
- classifier ensemble
- probabilistic classifiers
- meta learning
- bayes classifier
- training samples
- binary classifiers
- weak classifiers
- supervised classification
- highest accuracy
- optimum path forest
- neural classifier
- final classification
- classification method
- majority voting
- bayesian classifier
- unseen data
- class probabilities
- naive bayes classifier
- support vector machine
- feature space
- bayesian classifiers
- associative classifiers
- naive bayes
- correctly classified
- fold cross validation
- lexical features
- kernel classifiers
- text classifiers