A spark-based parallel distributed posterior decoding algorithm for big data hidden Markov models decoding problem

Hidden  M arkov models (HMMs) are one of machine learning algorithms which have been widely used and demonstrated their efficiency in many conventional applications. This paper proposes a modified posterior decoding algorithm to solve hidden Markov models decoding problem based on MapReduce paradigm...

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Bibliographic Details

Published in:	IAES International Journal of Artificial Intelligence Vol. 10; no. 3; p. 789
Main Authors:	Sassi, Imad, Anter, Samir, Bekkhoucha, Abdelkrim
Format:	Journal Article
Language:	English
Published:	Yogyakarta IAES Institute of Advanced Engineering and Science 01.09.2021
Subjects:	Algorithms Big Data Data processing Machine learning Markov chains Parallel processing Polytopes Run time (computers) Sequences
ISSN:	2089-4872, 2252-8938, 2089-4872
Online Access:	Get full text
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