Pairwise combination of classifiers for ensemble learning on data streams.
Heitor Murilo GomesJean Paul BarddalFabrício EnembreckPublished in: SAC (2015)
Keyphrases
- ensemble learning
- data streams
- concept drift
- pairwise
- ensemble classifier
- generalization ability
- ensemble methods
- multiple classifiers
- individual classifiers
- concept drifting
- streaming data
- base classifiers
- weak learners
- random forest
- multi class
- change detection
- classifier combination
- data distribution
- decision stumps
- base learners
- classification algorithm
- data sets
- neural network
- classifier ensemble
- semi supervised
- sliding window
- similarity measure
- prior knowledge
- majority voting
- loss function
- feature selection
- cost sensitive
- machine learning methods