Sleep Disorder Data Stream Classification Based on Classifiers Ensemble and Active Learning.
Liangming CaiRituparna DattaJingshan HuangShuai DongMin DuPublished in: BIBM (2019)
Keyphrases
- data stream classification
- active learning
- concept drift
- data streams
- ensemble classifier
- ensemble learning
- incremental learning
- data stream mining
- query by committee
- training set
- learning algorithm
- semi supervised
- missing values
- classifier ensemble
- ensemble methods
- training examples
- training data
- multiple classifiers
- streaming data
- ensemble pruning
- data mining
- machine learning
- classification algorithm
- sliding window
- missing data
- unlabeled data
- semi supervised learning
- data distribution
- remote sensing
- non stationary
- majority voting
- data points
- learning process
- image processing