Hybrid Adaptive Classifier Ensemble

@article{Yu2015HybridAC,
  title={Hybrid Adaptive Classifier Ensemble},
  author={Zhiwen Yu and Le Li and Jiming Liu and Guoqiang Han},
  journal={IEEE Transactions on Cybernetics},
  year={2015},
  volume={45},
  pages={177-190}
}
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
Highly Cited
This paper has 111 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 33 extracted citations

An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison

2017 International Joint Conference on Neural Networks (IJCNN) • 2017
View 11 Excerpts
Highly Influenced

111 Citations

020406020152016201720182019
Citations per Year
Semantic Scholar estimates that this publication has 111 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 74 references

"Fuzzy" versus "nonfuzzy" in combining classifiers designed by Boosting

IEEE Trans. Fuzzy Systems • 2003
View 5 Excerpts
Highly Influenced

Classifier Ensembles with a Random Linear Oracle

IEEE Transactions on Knowledge and Data Engineering • 2007
View 4 Excerpts
Highly Influenced

The Random Subspace Method for Constructing Decision Forests

IEEE Trans. Pattern Anal. Mach. Intell. • 1998
View 4 Excerpts
Highly Influenced

Bagging predictors

Machine Learning • 1996
View 5 Excerpts
Highly Influenced

A Bound on Kappa-Error Diagrams for Analysis of Classifier Ensembles

IEEE Transactions on Knowledge and Data Engineering • 2013
View 1 Excerpt

Reliable Classification of Vehicle Types Based on Cascade Classifier Ensembles

IEEE Transactions on Intelligent Transportation Systems • 2013
View 1 Excerpt

A review on ensembles for the class imbalance problem: Bagging-, boosting-, and hybrid-based approaches

M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera
IEEE Trans. Syst., Man, Cybern. C, Cybern., vol. 42, no. 4, pp. 463–484, Jul. 2012. • 2012
View 1 Excerpt

Similar Papers

Loading similar papers…