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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...
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| Publicado no: | Heliyon |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6422281/ https://ncbi.nlm.nih.gov/pubmed/30923763 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.heliyon.2019.e01299 |
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