A Sequential Modification of EM Algorithm

Author:

Grim J.

Publisher

Springer Berlin Heidelberg

Reference8 articles.

1. DEMPSTER, A.P., LAIRD, N.M. and D.B. RUBIN (1977): Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statist. Society, B 39, 1–38.

2. GRIM, J. (1982): On numerical evaluation of maximum-likelihood estimates for finite mixtures of distributions. Kybernetika, (18), 3, 173–190

3. GRIM, J. (1983): Application of finite mixtures to multivariate statistical pattern recognition. Proc. DIANA Conference on Discriminant Analysis, pp. 153–166, MÚCSAV Praha 1983

4. GRIM, J. (1996): Maximum likelihood design of layered neural networks. In: Proceedings of the 13th International Conference on Pattern Recognition IV (pp. 85–89 ). IEEE Computer Society Press, Los Alamitos.

5. VAJDA, I. and GRIM, J. (1997): About the maximum information and maximum likelihood principles. (to appear in) Kybernetika.

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