Using additive expert ensembles to cope with concept drift.
Jeremy Z. KolterMarcus A. MaloofPublished in: ICML (2005)
Keyphrases
- concept drift
- ensemble learning
- ensemble classifier
- data streams
- streaming data
- drifting concepts
- non stationary
- drift detection
- data distribution
- ensemble methods
- incremental clustering
- change detection
- classification algorithm
- data stream classification
- evolving data streams
- data stream mining
- decision trees
- batch learning
- random forests
- machine learning
- concept descriptions
- classifier ensemble
- feature space