Ensemble of Classifiers Based Incremental Learning with Dynamic Voting Weight Update

Proceedings of the International Joint Conference on Neural Networks

Volumn 4, Issue , 2003, Pages 2770-2775

  Polikar, Robi ^a   Krause, Stefan ^a   Burd, Lyndsay ^a  

^a Rowan University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ITERATIVE METHODS; NEURAL NETWORKS;

INCREMENTAL LEARNING;

LEARNING SYSTEMS;

EID: 0141480933     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. S. Grossberg, "Nonlinear neural networks: principles, mechanisms and architectures," Neural Networks, vol. 1, no. 1, pp. 17-61, 1988.
2. R. Polikar, L. Udpa L, S. Udpa, and V. Honavar, "Learn++: An incremental learning algorithm for supervised neural networks," IEEE Transactions on System, Man and Cybernetics (C), Special Issue on Knowledge Management, vol. 31, no. 4, pp. 497-508, 2001.
3. G.A. Carpenter, S. Grossberg, N. Markuzon, J.H. Reynolds, and D.B. Rosen, "Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps," IEEE Trans. on Neural Networks, vol. 3, no. 5, pp. 698-713, 1992.
4. J.R. Williamson, "Gaussian ARTMAP: a neural network for fast incremental learning of noisy multidimensional maps," Neural Networks, vol. 9, no. 5, pp. 881-897, 1996.
5. C.P. Lim and R.F. Harrison, "An incremental adaptive network for online supervised learning and probability estimation," Neural Networks, vol. 10, no. 5, pp. 925-939, 1997.
6. F. H. Hamker, "Life-long learning cell structures - continuously learning without catastrophic interference," Neural Networks, vol. 14, no. 45, pp. 551-573, 2000.
7. G.G. Anagnostopoulos and M. Georgiopoulos, "Ellipsoid ART and ARTMAP for incremental clustering and classification," Int. Joint Conf. on Neural Networks (IJCNN 2001), vol. 2, pp. 1221-1226, 2001.
8. E. Gomez-Sanchez, Y.A. Dimitriadis, J.M. Cano-Izquierdo, J. Lopez-Coronado, Safe-μARTMAP: A new solution for reducing category proliferation in Fuzzy ARTMAP, Proc. of Int. Joint Conf. on Neural Networks (IJCNN 2001), vol.2, pp. 1197-1202, 2001.
9. R. Polikar, J. Byorick, S. Krause, A. Marino, and M. Moreton, "Learn++: A classifier independent incremental learning algorithm for supervised neural networks," Proc. of Int. Joint Conference on Neural Networks (IJCNN 2002), vol.2, pp. 1742-1747, Honolulu, HI, 2002.
10. Y. Freund and R. Schapire, "A decision theoretic generalization of online learning and an application to boosting," Computer and System Sciences, vol. 57, no. 1, pp. 119-139, 1997.
11. N. Littlestone and M. Warmuth, "Weighted majority algorithm," Information and Computation, vol. 108, pp. 212-261, 1994.
12. L.K. Hansen and P. Salamon, "Neural network ensembles," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 10, pp. 993-1001, 1990.
13. M.I. Jordan and R.A. Jacobs, "Hierarchical mixtures of experts and the EM algorithm," Proc. of Int. Joint Conf. on Neural Networks (IJCNN 1993), pp. 1339-1344, 1993.
14. J. Kittler, M. Hatef, R.P. Duin, J. Matas, "On combining classifiers," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 20, no.3, pp. 226-239, 1998.
15. T.G. Dietterich, "An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting and randomization," Machine Learning, vol. 40, no. 2, pp. 1-19, 2000.
16. L.I. Kuncheva, "A theoretical study on six classifier fusion starategies," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 2, pp. 281-286, 2002.
17. R. Polikar, "Algorithms for enhancing pattern separability, feature selection and incremental learning with applications to gas sensing electronic nose systems," Ph.D. dissertation, Iowa State University, Ames, IA, 2000.
18. R. Polikar, L. Udpa, S. Udpa, V. Honavar, "Learn++: An incremental learning algorithm for multilayer neural networks," Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Proc., vol. 6, pp. 3414-3417, 2000.