Multi-Scale Ensemble Booster for Improving Existing TSD Classifiers.
Linchuan FanYi ChaiXiaolong ChenPublished in: IEEE Trans. Knowl. Data Eng. (2023)
Keyphrases
- multiscale
- ensemble learning
- multiple classifiers
- ensemble classifier
- classifier ensemble
- training data
- ensemble pruning
- training set
- final classification
- majority voting
- ensemble methods
- majority vote
- support vector
- class label noise
- ensemble classification
- accurate classifiers
- individual classifiers
- binary classification
- feature selection
- decision trees
- combining classifiers
- randomized trees
- weighted voting
- concept drifting data streams
- machine learning algorithms
- machine learning methods
- multiple classifier systems
- decision tree classifiers
- edge detection
- imbalanced data
- random forests
- ensemble members
- image processing
- mining concept drifting data streams
- neural network
- random forest
- weak learners
- scale space
- svm classifier
- weak classifiers
- linear classifiers
- pruning algorithm
- feature set
- classifier combination
- feature ranking
- publicly available data sets
- bias variance decomposition
- roc curve
- binary classifiers
- diversity measures
- combining multiple
- classification algorithm