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Algebraic Bayesian Networks : Parallel Algorithms for Maintaining Local Consistency. / Kharitonov, Nikita A.; Maksimov, Anatolii G.; Tulupyev, Alexander L.

Proceedings of the 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019. ed. / Sergey Kovalev; Andrey Sukhanov; Valery Tarassov; Vaclav Snasel. Springer Nature, 2020. p. 214-222 (Advances in Intelligent Systems and Computing; Vol. 1156 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Kharitonov, NA, Maksimov, AG & Tulupyev, AL 2020, Algebraic Bayesian Networks: Parallel Algorithms for Maintaining Local Consistency. in S Kovalev, A Sukhanov, V Tarassov & V Snasel (eds), Proceedings of the 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019. Advances in Intelligent Systems and Computing, vol. 1156 AISC, Springer Nature, pp. 214-222, 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019, Ostrava-Prague, Czech Republic, 2/12/19. https://doi.org/10.1007/978-3-030-50097-9_22

APA

Kharitonov, N. A., Maksimov, A. G., & Tulupyev, A. L. (2020). Algebraic Bayesian Networks: Parallel Algorithms for Maintaining Local Consistency. In S. Kovalev, A. Sukhanov, V. Tarassov, & V. Snasel (Eds.), Proceedings of the 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019 (pp. 214-222). (Advances in Intelligent Systems and Computing; Vol. 1156 AISC). Springer Nature. https://doi.org/10.1007/978-3-030-50097-9_22

Vancouver

Kharitonov NA, Maksimov AG, Tulupyev AL. Algebraic Bayesian Networks: Parallel Algorithms for Maintaining Local Consistency. In Kovalev S, Sukhanov A, Tarassov V, Snasel V, editors, Proceedings of the 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019. Springer Nature. 2020. p. 214-222. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-50097-9_22

Author

Kharitonov, Nikita A. ; Maksimov, Anatolii G. ; Tulupyev, Alexander L. / Algebraic Bayesian Networks : Parallel Algorithms for Maintaining Local Consistency. Proceedings of the 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019. editor / Sergey Kovalev ; Andrey Sukhanov ; Valery Tarassov ; Vaclav Snasel. Springer Nature, 2020. pp. 214-222 (Advances in Intelligent Systems and Computing).

BibTeX

@inproceedings{215ddd5ff7ce4db2b437706556bfb866,
title = "Algebraic Bayesian Networks: Parallel Algorithms for Maintaining Local Consistency",
abstract = "Algebraic Bayesian networks belong to the class of machine-learning probabilistic graphical models. One of the main tasks during researching machine learning models is the optimization of their time of work. This paper presents approaches to parallelizing algorithms for maintaining local consistency in algebraic Bayesian networks as one of the ways to optimize their time of work. An experiment provided to compare the time of parallel and nonparallel realizations of algorithms for maintaining local consistency.",
keywords = "Algebraic Bayesian networks, Bayesian networks, Consistency, Knowledge pattern, Machine learning, Parallel computing, Probabilistic graphic models, Probabilistic-logical inference",
author = "Kharitonov, {Nikita A.} and Maksimov, {Anatolii G.} and Tulupyev, {Alexander L.}",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019 ; Conference date: 02-12-2019 Through 07-12-2019",
year = "2020",
doi = "10.1007/978-3-030-50097-9_22",
language = "English",
isbn = "9783030500962",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Nature",
pages = "214--222",
editor = "Sergey Kovalev and Andrey Sukhanov and Valery Tarassov and Vaclav Snasel",
booktitle = "Proceedings of the 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019",
address = "Germany",

}

RIS

TY - GEN

T1 - Algebraic Bayesian Networks

T2 - 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019

AU - Kharitonov, Nikita A.

AU - Maksimov, Anatolii G.

AU - Tulupyev, Alexander L.

N1 - Publisher Copyright: © 2020, Springer Nature Switzerland AG.

PY - 2020

Y1 - 2020

N2 - Algebraic Bayesian networks belong to the class of machine-learning probabilistic graphical models. One of the main tasks during researching machine learning models is the optimization of their time of work. This paper presents approaches to parallelizing algorithms for maintaining local consistency in algebraic Bayesian networks as one of the ways to optimize their time of work. An experiment provided to compare the time of parallel and nonparallel realizations of algorithms for maintaining local consistency.

AB - Algebraic Bayesian networks belong to the class of machine-learning probabilistic graphical models. One of the main tasks during researching machine learning models is the optimization of their time of work. This paper presents approaches to parallelizing algorithms for maintaining local consistency in algebraic Bayesian networks as one of the ways to optimize their time of work. An experiment provided to compare the time of parallel and nonparallel realizations of algorithms for maintaining local consistency.

KW - Algebraic Bayesian networks

KW - Bayesian networks

KW - Consistency

KW - Knowledge pattern

KW - Machine learning

KW - Parallel computing

KW - Probabilistic graphic models

KW - Probabilistic-logical inference

UR - http://www.scopus.com/inward/record.url?scp=85088210759&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-50097-9_22

DO - 10.1007/978-3-030-50097-9_22

M3 - Conference contribution

AN - SCOPUS:85088210759

SN - 9783030500962

T3 - Advances in Intelligent Systems and Computing

SP - 214

EP - 222

BT - Proceedings of the 4th International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2019

A2 - Kovalev, Sergey

A2 - Sukhanov, Andrey

A2 - Tarassov, Valery

A2 - Snasel, Vaclav

PB - Springer Nature

Y2 - 2 December 2019 through 7 December 2019

ER -

ID: 88231115