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 language | English |
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Title of host publication | Proceedings of the 3rd International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) - Volume 2 |
Editors | Valery Tarassov, Sergey Kovalev, Andrey Sukhanov, Ajith Abraham, Vaclav Snasel |
Publisher | Springer |
Pages | 76-84 |
Number of pages | 9 |
ISBN (Print) | 9783030018207 |
DOIs | |
Publication status | Published - 1 Jan 2019 |
Event | 3rd International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2018 - Sochi Duration: 17 Sep 2018 → 21 Sep 2018 |
Publication series
Name | Advances in Intelligent Systems and Computing |
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Volume | 875 |
ISSN (Print) | 2194-5357 |
Conference
Conference | 3rd International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2018 |
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Country | Russian Federation |
City | Sochi |
Period | 17/09/18 → 21/09/18 |
Scopus subject areas
- Control and Systems Engineering
- Computer Science(all)
Cite this
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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
TY - GEN
T1 - Synthesis and learning of socially significant behavior model with hidden variables
AU - Tulupyeva, Tatiana V.
AU - Торопова, Александра Витальевна
PY - 2019/1/1
Y1 - 2019/1/1
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.
KW - Bayesian belief network
KW - Bayesian belief network with hidden variables
KW - BBN
KW - Socially significant behavior model
UR - http://www.scopus.com/inward/record.url?scp=85058532002&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-01821-4_9
DO - 10.1007/978-3-030-01821-4_9
M3 - Conference contribution
AN - SCOPUS:85058532002
SN - 9783030018207
T3 - Advances in Intelligent Systems and Computing
SP - 76
EP - 84
BT - Proceedings of the 3rd International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) - Volume 2
A2 - Tarassov, Valery
A2 - Kovalev, Sergey
A2 - Sukhanov, Andrey
A2 - Abraham, Ajith
A2 - Snasel, Vaclav
PB - Springer
ER -