Just-in-time ensemble of classifiers.
Cesare AlippiGiacomo BoracchiManuel RoveriPublished in: IJCNN (2012)
Keyphrases
- ensemble learning
- classifier ensemble
- ensemble classifier
- multiple classifiers
- ensemble pruning
- training set
- majority voting
- training data
- individual classifiers
- ensemble methods
- randomized trees
- final classification
- combining classifiers
- feature selection
- multiple classifier systems
- majority vote
- accurate classifiers
- class label noise
- weighted voting
- mining concept drifting data streams
- concept drifting data streams
- trained classifiers
- ensemble classification
- random forest
- base classifiers
- decision trees
- support vector
- ensemble members
- decision tree classifiers
- machine learning algorithms
- neural network
- one class support vector machines
- test set
- random forests
- weak classifiers
- classification algorithm
- prediction accuracy
- pruning algorithm
- binary classification problems
- naive bayes
- classifier fusion
- classification systems
- machine learning methods
- feature ranking
- diversity measures
- weak learners
- bias variance decomposition
- rule induction algorithm
- publicly available data sets
- feature set
- text categorization
- svm classifier
- imbalanced data
- support vector machine
- multi class
- linear classifiers
- feature subset
- concept drift