Learn++.NSE is an ensemble-based batch learning algorithm that uses weighted majority voting, where the weights are dynamically updated with respect to the classifiers’ time-adjusted errors on current and past environments.
- Elwell, R., & Polikar, R. (2011). Incremental learning of concept drift in nonstationary environments. IEEE Transactions on Neural Networks, 22(10), 1517-1531.