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| Title: | Identification of Markov sequences based on a modified “forward-backward” algorithm |
| Issue Date: | 2020 |
| Citation: | Shalagin S.V. Identification of Markov sequences based on a modified “forward-backward” algorithm/ S.V. Shalagin, A.R. Nurutdinova // Информационные технологии и нанотехнологии (ИТНТ-2020). Сборник трудов по материалам VI Международной конференции и молодежной школы (г. Самара, 26-29 мая): в 4 т. / Самар. нац.-исслед. ун-т им. С. П. Королева (Самар. ун-т), Ин-т систем. обраб. изобр. РАН-фил. ФНИЦ "Кристаллография и фотоника" РАН; [под ред. В. А. Фурсова]. – Самара: Изд-во Самар. ун-та, 2020. – Том 4. Науки о данных. – 2020. – С. 28-31. |
| Abstract: | In 1989, L.R. Rabiner proposed a solution to the problem of identifying hidden Markov models by the induction method using a modified “forward-backward” algorithm. This article proposes the use of a modification of this method to solve the problem of identifying Markov sequences for belonging with a given probability to a specific class of the automate Markov model (AMM). A model defined on the basis of stochastic matrices of the class ergodic, which determine the class of the AMM. |
| URI: | http://repo.ssau.ru/jspui/handle/123456789/12413 |
| Appears in Collections: | Информационные технологии и нанотехнологии |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ИТНТ-2020_том 4-28-31.pdf | 445.14 kB | Adobe PDF | View/Open |
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