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How evaluation problem can be solved by using hidden Markov model? 

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In this paper, we propose a Hidden Markov Model (HMM) which incorporates the threshold effect of the observation process.
The results show the validity of the hidden Markov model
Journal ArticleDOI
W. H. Laverty, M. J. Miket, I. W. Kelly 
01 Mar 2002-The Statistician
15 Citations
This can be a very valuable aid in the understanding of hidden Markov models.
Open accessProceedings ArticleDOI
15 Jul 2001
42 Citations
Preliminary results show that the performance of this approach is, at least, similar to that of a standard hidden Markov model trained using the Baum-Welch algorithm.
The proposed procedure generalizes the Baum algorithm for ML hidden Markov modeling.
Open accessProceedings ArticleDOI
George Sterpu, Christian Saam, Naomi Harte 
08 Oct 2018
11 Citations
Results show a major improvement on a Hidden Markov Model framework.
Open accessProceedings ArticleDOI
05 Jul 2008
34 Citations
It is shown to be more accurate than a standard hidden Markov model in this domain.
It extends previous work on homogeneous Markov chains to more general and applicable hidden Markov models.

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