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Page 198
Schwartz, R., and S. Austin, "A Comparison of Several Approximate Algorithms for Finding Multiple (N-Best) Sentence Hypotheses," IEEE International Conference on Acoustics, Speech, and Signal Processing, Toronto, Canada, pp. 701-704, 1991.
Schwartz, R., and Y. L. Chow, "The N-Best Algorithm: An Efficient and Exact Procedure for Finding the N Most Likely Sentence Hypotheses," IEEE International Conference on Acoustics, Speech, and Signal Processing, Albuquerque, pp. 81-84, April 1990.
Schwartz, R. M., Y. Chow, S. Roucos, M. Krasner, and J. Makhoul, "Improved Hidden Markov Modeling of Phonemes for Continuous Speech Recognition," IEEE International Conference on Acoustics, Speech, and Signal Processing, San Diego, pp. 35.6.1-35.6.4, March 1984.
Schwartz, R., O. Kimball, F. Kubala, M. Feng, Y. Chow, C. Barry, and J. Makhoul, "Robust Smoothing Methods for Discrete Hidden Markov Models," IEEE International Conference on Acoustics, Speech, and Signal Processing, Glasgow, Scotland, paper S10b.9, May 1989.
Schwartz, R., A. Anastasakos, F. Kubala, J. Makhoul, L. Nguyen, and G. Zavaliagkos, "Comparative Experiments on Large Vocabulary Speech Recognition," Proceedings of the ARPA Workshop on Human Language Technology, Morgan Kaufmann Publishers, Princeton, N.J., pp. 75-80, March 1993.
Soong, F., and E. Huang, "A Tree-Trellis Based Fast Search for Finding the N Best Sentence Hypotheses in Continuous Speech Recognition," IEEE International Conference on Acoustics, Speech, and Signal Processing, Toronto, Canada, pp. 705-708, 1991.
White, H., "Learning in Artificial Neural Networks: A Statistical Perspective," Neural Computation, pp. 425-464, 1989.
