Biomedical system based on the Discrete Hidden Markov Model using the Rocchio–Genetic approach for the classification of internal carotid artery Doppler signals-Reference-Cited by-同舟云学术

Biomedical system based on the Discrete Hidden Markov Model using the Rocchio–Genetic approach for the classification of internal carotid artery Doppler signals

Published:2011-07 Issue:1 Volume:103 Page:51-60
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Uğuz Harun,Güraksın Gür Emre,Ergün Uçman,Saraçoğlu Rıdvan

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference48 articles.

1. An inequality with applications to statistical estimation for probabilistic functions of Markov process and to a model ecology;Baum;Bull. Am. Meteorol. Soc.,1967

2. A Maximization technique occurring in the statistical analysis of probabilistic function of Markov Chain;Baum;Ann. Math. Stat.,1970

3. An inequality and associated maximization technique in a statistical estimation for probabilistic functions of Markov processes;Baum;Inequalities,1972

4. A tutorial on hidden Markov models and selected applications in speech recognition;Rabiner;Proc. IEEE,1989

5. An introduction to hidden Markov models;Rabiner;IEEE ASSP Mag.,1989

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