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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6422281/ https://www.ncbi.nlm.nih.gov/pubmed/30923763 http://dx.doi.org/10.1016/j.heliyon.2019.e01299 |