Online Boosting Adaptive Learning under Concept Drift for Multistream Classification.
En YuJie LuBin ZhangGuangquan ZhangPublished in: AAAI (2024)
Keyphrases
- adaptive learning
- concept drift
- ensemble classifier
- classification algorithm
- data stream classification
- drift detection
- data streams
- feature vectors
- feature selection
- machine learning
- non stationary
- decision trees
- learning objects
- data sets
- ensemble methods
- incremental learning
- machine learning methods
- data distribution
- online learning
- training set
- support vector
- reinforcement learning
- feature extraction
- database
- training samples
- benchmark datasets
- text classification
- supervised learning
- learning resources
- knn
- feature space
- weak classifiers
- neural network