A maximum likelihood neural network based on a log-linearized Gaussian mixture model
- 19 November 2002
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3, 1293-1298
- https://doi.org/10.1109/icnn.1995.487343
Abstract
No abstract availableThis publication has 4 references indexed in Scilit:
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- Pattern classification of EEG signals using a log-linearized Gaussian mixture neural networkPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A neural network approach to statistical pattern classification by 'semiparametric' estimation of probability density functionsIEEE Transactions on Neural Networks, 1991
- Maximum likelihood neural networks for sensor fusion and adaptive classificationNeural Networks, 1991