Hybrid Adaptive Classifier Ensemble

  title={Hybrid Adaptive Classifier Ensemble},
  author={Zhiwen Yu and Le Li and Jiming Liu and Guoqiang Han},
  journal={IEEE Transactions on Cybernetics},
Traditional random subspace-based classifier ensemble approaches (RSCE) have several limitations, such as viewing the same importance for the base classifiers trained in different subspaces, not considering how to find the optimal random subspace set. In this paper, we design a general hybrid adaptive ensemble learning framework (HAEL), and apply it to address the limitations of RSCE. As compared with RSCE, HAEL consists of two adaptive processes, i.e., base classifier competition and… CONTINUE READING
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