Ensemble of classifiers for off-line signature verification.
Diego BertoliniLuiz S. OliveiraEdson J. R. JustinoRobert SabourinPublished in: SMC (2008)
Keyphrases
- data sets
- training data
- training set
- ensemble classifier
- ensemble learning
- multiple classifiers
- classifier ensemble
- ensemble pruning
- publicly available data sets
- majority voting
- combining classifiers
- majority vote
- ensemble classification
- individual classifiers
- accurate classifiers
- test set
- final classification
- imbalanced data
- class labels
- multiple classifier systems
- trained classifiers
- decision tree classifiers
- ensemble methods
- randomized trees
- rule induction algorithm
- one class support vector machines
- class label noise
- neural network
- linear classifiers
- weak classifiers
- decision trees
- base classifiers
- feature selection
- diversity measures
- support vector
- svm classifier
- classification models
- pruning method
- generalization ability
- random forests
- classifier combination
- concept drifting data streams
- mining concept drifting data streams
- learning algorithm
- bias variance decomposition
- machine learning algorithms
- training samples
- ensemble members
- naive bayes
- weighted voting
- feature set
- feature extraction
- individual features
- random forest
- pruning algorithm
- roc curve
- weak learners
- automatic music genre classification
- feature ranking