Combining Multiple Classifiers in Probabilistic Neural Networks

Author:

Grim Jiří,Kittler Josef,Pudil Pavel,Somol Petr

Publisher

Springer Berlin Heidelberg

Reference18 articles.

1. Cho S.B., Kim J.H., (1995): Multiple network fusion using fuzzy logic, IEEE Transactions on Neural Networks, vol. 6, no. 2, pp. 497–501.

2. Dempster, A.P., Laird, N.M., & Rubin, D.B., (1977): Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Stat. Soc., B 39, pp. 1–38.

3. Grim, J., (1996b): Design of multilayer neural networks by information preserving transforms. In: E. Pessa, M.P. Penna, A. Montesanto (Eds.), Proceedings of the Third European Congress on System Science (pp. 977–982), Roma: Edizzioni Kappa.

4. Grim J. (1999b): Information approach to structural optimization of probabilistic neural networks. In Proceedings of 4th System Science European Congress, L. Ferrer et al. (Eds.), (pp. 527–540), Valencia: Sociedad Espanola de Sistemas Generales, 1999.

5. Grim J. & Pudil P., (1998): On virtually binary nature of probabilistic neural networks. In: Advances in Pattern Recognition, (Proceedings of the IAPR International Workshops SSPR’98 and SPR’98), Sydney, August 11–13, 1998, A. Amin, D. Dori, P. Pudil, H. Freeman (Eds.), (pp. 765–774), Springer: New York, Berlin, 1998.

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