A maximum likelihood neural network based on a log-linearized Gaussian mixture model
Authors:
- T. TsujiTTT. Tsuji
- H. IchinobeHIH. Ichinobe
- O. FukudaOFO. Fukuda
- M. KanekoMKM. Kaneko
- 19 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3, 1293-1298
Abstract
No abstract availableThis publication has 3 references indexed in Scilit:
- Pattern classification of EEG signals using a log-linearized Gaussian mixture neural network2002
- 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