Iterative principles of recognition in probabilistic neural networks-Reference-Cited by-同舟云学术

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Iterative principles of recognition in probabilistic neural networks

Published:2008-08 Issue:6 Volume:21 Page:838-846
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Grim Jiří,Hora Jan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference36 articles.

1. Bayesian classification by iterated weighting;Baram;Neurocomputing,1999

2. Maximum-likelihood from incomplete data via the EM algorithm;Dempster;Journal of the Royal Statistical Society,1977

3. On numerical evaluation of maximum — likelihood estimates for finite mixtures of distributions;Grim;Kybernetika,1982

4. Multivariate statistical pattern recognition with non-reduced dimensionality;Grim;Kybernetika,1986

5. Maximum-likelihood design of layered neural networks;Grim,1996

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