A new ensemble method for multi-label data stream classification in non-stationary environment.
Ge SongYunming YePublished in: IJCNN (2014)
Keyphrases
- non stationary
- multi label
- multilabel classification
- concept drift
- ensemble methods
- data stream classification
- random forest
- text categorization
- multi label classification
- binary classification
- ensemble learning
- image classification
- graph cuts
- text classification
- class labels
- multiple labels
- decision trees
- base classifiers
- prediction accuracy
- machine learning methods
- base learners
- benchmark datasets
- neural network
- training examples
- active learning
- data streams
- feature selection