Smooth On-Line Learning Algorithms for Hidden Markov Models

@article{Baldi1994SmoothOL,
  title={Smooth On-Line Learning Algorithms for Hidden Markov Models},
  author={Pierre Baldi and Yves Chauvin},
  journal={Neural Computation},
  year={1994},
  volume={6},
  pages={307-318}
}
A simple learning algorithm for Hidden Markov Models (HMMs) is presented together with a number of variations. Unlike other classical algorithms such as the Baum-Welch algorithm, the algorithms described are smooth and can be used on-line (after each example presentation) or in batch mode, with or without the usual Viterbi most likely path approximation. The algorithms have simple expressions that result from using a normalized-exponential representation for the HMM parameters. All the… CONTINUE READING
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References

Publications referenced by this paper.
SHOWING 1-10 OF 12 REFERENCES

Hidden Markov models in molecular biology: New algorithms and applications

  • P., Y. Chauvin, T. Hunkapiller, M. A. McClure
  • Aduances in Neural lnformation Processing Systems…
  • 1993

A tutorial on hidden Markov models and selected

  • L R.
  • 1989

A tutorial on hidden Markov models and selected applications in speech recognition

  • S. Omohundro
  • Proc . IEEE
  • 1989

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