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DOI: 10.14569/SpecialIssue.2013.030203
PDF

Hierarchical Algorithm for Hidden Markov Model

Author 1: SANAA CHAFIK
Author 2: DAOUI CHERKI

International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Selected Papers from Third international symposium on Automatic Amazigh processing SITACAM13, 2013.

  • Abstract and Keywords
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Abstract: The Forward algorithm is an inference algorithm for hidden Markov models, which often leads to a very large hidden state space. The objective of this work is to reduce the task of solving the Forward algorithm, by offering faster improved algorithm which is based on divide and conquer technique.

Keywords: Hidden Markov Model; Forward; Divide and Conquer; Decomposition; Communicating Class.

SANAA CHAFIK and DAOUI CHERKI, “Hierarchical Algorithm for Hidden Markov Model” International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Selected Papers from Third international symposium on Automatic Amazigh processing SITACAM13, 2013. http://dx.doi.org/10.14569/SpecialIssue.2013.030203

@article{2013,
title = {Hierarchical Algorithm for Hidden Markov Model},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Selected Papers from Third international symposium on Automatic Amazigh processing SITACAM13}
doi = {10.14569/SpecialIssue.2013.030203},
url = {http://dx.doi.org/10.14569/SpecialIssue.2013.030203},
year = {2013},
publisher = {The Science and Information Organization},
volume = {3},
number = {2},
author = {SANAA CHAFIK and DAOUI CHERKI},
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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