Towards a Maximum Entropy Method for Estimating HMM Parameters
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Brian C. Lovell | Peter J. Kootsookos | Christian Walder | B. Lovell | Peter James Kootsookos | Christian J. Walder
[1] Brian C. Lovell,et al. Improved estimation of hidden Markov model parameters from multiple observation sequences , 2002, Object recognition supported by user interaction for service robots.
[2] S. Leigh,et al. Probability and Random Processes for Electrical Engineering , 1989 .
[3] Roy L. Streit,et al. The moments of matched and mismatched hidden Markov models , 1990, IEEE Trans. Acoust. Speech Signal Process..
[4] L. R. Rabiner,et al. An introduction to the application of the theory of probabilistic functions of a Markov process to automatic speech recognition , 1983, The Bell System Technical Journal.
[5] E. T. Jaynes,et al. Papers on probability, statistics and statistical physics , 1983 .
[6] Matthew Brand,et al. Structure Learning in Conditional Probability Models via an Entropic Prior and Parameter Extinction , 1999, Neural Computation.
[7] Gary James Jason,et al. The Logic of Scientific Discovery , 1988 .
[8] Biing-Hwang Juang,et al. Fundamentals of speech recognition , 1993, Prentice Hall signal processing series.