Selective Ensemble Based on Transformation of Classifiers Used SPCA.
Lin XiongShasha MaoLicheng JiaoPublished in: Int. J. Pattern Recognit. Artif. Intell. (2015)
Keyphrases
- ensemble learning
- ensemble classifier
- classifier ensemble
- ensemble pruning
- multiple classifiers
- training data
- majority voting
- training set
- final classification
- combining classifiers
- multiple classifier systems
- ensemble methods
- class label noise
- feature ranking
- individual classifiers
- concept drifting data streams
- base classifiers
- ensemble classification
- majority vote
- feature selection
- randomized trees
- accurate classifiers
- weak learners
- weak classifiers
- decision trees
- diversity measures
- ensemble members
- decision tree classifiers
- classifier combination
- machine learning algorithms
- learning algorithm
- weighted voting
- test set
- feature set
- training samples
- text categorization
- imbalanced data
- rule induction algorithm
- support vector
- one class support vector machines
- multi class
- classifier fusion
- trained classifiers
- bias variance decomposition
- random forests
- naive bayes
- random forest
- mining concept drifting data streams
- svm classifier
- pruning method
- individual features
- classification accuracy
- binary classification problems
- linear classifiers
- classification models
- classification algorithm
- neural network