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Hidden Markov Chains

Chapter
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 83)

8.5 Summary

In this chapter, we present several new frameworks of hidden Markov models (HMMs). They include Higher-order Hidden Markov Model (HHMM), Interactive Hidden Markov Model (IHMM) and Double Higher-order Hidden Markov Model (DHHMM). For both HHMM and IHMM, we present both methods and efficient algorithms for the estimation of model parameters. Further research can be done in the applications of these new HMMs.

Keywords

Hide Markov Model Hide State Transition Probability Matrix Observation Sequence Observation Symbol 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, Inc. 2006

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