Synthesis and learning of socially significant behavior model with hidden variables

Research output

Abstract

Socially significant behavior model with hidden variables is suggested as means for processing unreliable data. Two models with hidden variables are considered: the one with synthesized structure and the other with structure defined expertly. Both models are learned using automatically generated set of data. The models are compared with each other and with the original socially significant behavior model.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) - Volume 2
EditorsValery Tarassov, Sergey Kovalev, Andrey Sukhanov, Ajith Abraham, Vaclav Snasel
PublisherSpringer
Pages76-84
Number of pages9
ISBN (Print)9783030018207
DOIs
Publication statusPublished - 1 Jan 2019
Event3rd International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2018 - Sochi
Duration: 17 Sep 201821 Sep 2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume875
ISSN (Print)2194-5357

Conference

Conference3rd International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2018
CountryRussian Federation
CitySochi
Period17/09/1821/09/18

Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Tulupyeva, T. V., & Торопова, А. В. (2019). Synthesis and learning of socially significant behavior model with hidden variables. In V. Tarassov, S. Kovalev, A. Sukhanov, A. Abraham, & V. Snasel (Eds.), Proceedings of the 3rd International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) - Volume 2 (pp. 76-84). (Advances in Intelligent Systems and Computing; Vol. 875). Springer. https://doi.org/10.1007/978-3-030-01821-4_9
Tulupyeva, Tatiana V. ; Торопова, Александра Витальевна. / Synthesis and learning of socially significant behavior model with hidden variables. Proceedings of the 3rd International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) - Volume 2. editor / Valery Tarassov ; Sergey Kovalev ; Andrey Sukhanov ; Ajith Abraham ; Vaclav Snasel. Springer, 2019. pp. 76-84 (Advances in Intelligent Systems and Computing).
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title = "Synthesis and learning of socially significant behavior model with hidden variables",
abstract = "Socially significant behavior model with hidden variables is suggested as means for processing unreliable data. Two models with hidden variables are considered: the one with synthesized structure and the other with structure defined expertly. Both models are learned using automatically generated set of data. The models are compared with each other and with the original socially significant behavior model.",
keywords = "Bayesian belief network, Bayesian belief network with hidden variables, BBN, Socially significant behavior model",
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Tulupyeva, TV & Торопова, АВ 2019, Synthesis and learning of socially significant behavior model with hidden variables. in V Tarassov, S Kovalev, A Sukhanov, A Abraham & V Snasel (eds), Proceedings of the 3rd International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) - Volume 2. Advances in Intelligent Systems and Computing, vol. 875, Springer, pp. 76-84, Sochi, 17/09/18. https://doi.org/10.1007/978-3-030-01821-4_9

Synthesis and learning of socially significant behavior model with hidden variables. / Tulupyeva, Tatiana V.; Торопова, Александра Витальевна.

Proceedings of the 3rd International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) - Volume 2. ed. / Valery Tarassov; Sergey Kovalev; Andrey Sukhanov; Ajith Abraham; Vaclav Snasel. Springer, 2019. p. 76-84 (Advances in Intelligent Systems and Computing; Vol. 875).

Research output

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T1 - Synthesis and learning of socially significant behavior model with hidden variables

AU - Tulupyeva, Tatiana V.

AU - Торопова, Александра Витальевна

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N2 - Socially significant behavior model with hidden variables is suggested as means for processing unreliable data. Two models with hidden variables are considered: the one with synthesized structure and the other with structure defined expertly. Both models are learned using automatically generated set of data. The models are compared with each other and with the original socially significant behavior model.

AB - Socially significant behavior model with hidden variables is suggested as means for processing unreliable data. Two models with hidden variables are considered: the one with synthesized structure and the other with structure defined expertly. Both models are learned using automatically generated set of data. The models are compared with each other and with the original socially significant behavior model.

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Tulupyeva TV, Торопова АВ. Synthesis and learning of socially significant behavior model with hidden variables. In Tarassov V, Kovalev S, Sukhanov A, Abraham A, Snasel V, editors, Proceedings of the 3rd International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) - Volume 2. Springer. 2019. p. 76-84. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-01821-4_9