A minimum classification error, maximum likelihood, neural network

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2, Issue , 1992, Pages 289-292

  Gish, Herbert ^a  

^a BBN TECHNOLOGIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO SIGNAL PROCESSING; ERRORS; MAXIMUM LIKELIHOOD; SPEECH COMMUNICATION;

CLASSIFICATION ERRORS; DATA POINTS; DECISION BOUNDARY; DISTANCE MEASURE; ERROR NETWORK; MINIMUM CLASSIFICATION ERROR; ROBUSTNESS PROPERTIES; TRAINING ALGORITHMS;

SIGNAL PROCESSING;

EID: 84968709301     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.1992.226063     Document Type: Conference Paper

References (6)

1. H. Do-Tu and M. Installe, Learning Algorithms for Nonpara-metric Solution to the Minimum Error Classification Problem, IEEE Trans, on Computers, vol. c-27, July, 1978, pp. 648-659.
2. H. Gish, Maximum likelihood training of neural networks, Proceedings of the Third Int. Workshop on Artificial Intelligence and Statistics, Ft. Lauderdale, EL, Jan. 1991. Also, BBN Tech. Report 7635, Aug. 1991.
3. P. J. Huber, Robust Statistics, J. Wiley, 1981.
4. Day N. E. and Kerridge D. F (1967), A general maximum likelihood discriminant., Biometrics vol. 23, pp. 313-323.
5. J. Hampshire and A. Waibel, A novel objective function for improved phoneme recognition using time-delay neural networks, IEEE Trans, on Neural Networks, vol 1., no. 2, June 1990.
6. D. Chen and R. C. Jain, A robust back propagation learning algorithm for function approximation. Proceedings of the Third Int. Workshop on Artificial Intelligence and Statistics, Ft. Lauderdale, FL, Jan. 1991.