A hybrid block-based ensemble framework for the multi-class problem to react to different types of drifts.
Osama A. MahdiEric PardedeNawfal AliPublished in: Clust. Comput. (2021)
Keyphrases
- multi class
- error correcting output codes
- feature selection
- base classifiers
- multi class classification
- multiple instance learning
- cost sensitive
- ensemble methods
- multi class object detection
- data sets
- multiclass problems
- binary classification problems
- binary classification
- ensemble learning
- probabilistic model
- decision trees
- neural network