A novel algorithm for parameter estimation of Hidden Markov Model inspired by Ant Colony Optimization
HMM is a powerful method to model data in various fields. Estimation of Hidden Markov Model parameters is an NP-Hard problem. We propose a heuristic algorithm called “AntMarkov” to improve the efficiency of estimating HMM parameters. We compared our method with four algorithms. The comparison was co...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2019-03-01
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Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844018341203 |