Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Irina Deeva"'
Publikováno v:
Mathematics, Vol 11, Iss 2, p 343 (2023)
Bayesian networks are a powerful tool for modelling multivariate random variables. However, when applied in practice, for example, for industrial projects, problems arise because the existing learning and inference algorithms are not adapted to real
Externí odkaz:
https://doaj.org/article/504e521082cf4c5dbf1ea2f7ea60553b
Autor:
Anna Bubnova, Irina Deeva
Publikováno v:
Procedia Computer Science. 212:275-283
Publikováno v:
Procedia Computer Science. 193:422-431
Publikováno v:
Procedia Computer Science. 193:494-503
This paper describes a new library for learning Bayesian networks from data containing discrete and continuous variables (mixed data). In addition to the classical learning methods on discretized data, this library proposes its algorithm that allows
Autor:
Andrey Bezborodov, Irina Deeva
Publikováno v:
Computational Science – ICCS 2022 ISBN: 9783031087530
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e5e35ba66e91667a89cd9efb58cb662
https://doi.org/10.1007/978-3-031-08754-7_30
https://doi.org/10.1007/978-3-031-08754-7_30
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030948214
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::689d45d213b60f5d521dfe64a109a704
https://doi.org/10.1007/978-3-030-94822-1_55
https://doi.org/10.1007/978-3-030-94822-1_55
Publikováno v:
Procedia Computer Science. 156:357-366
The various real-world tasks of environmental management make it necessary to obtain the hindcasts and forecasts of natural events (wind, ocean waves and currents, sea ice, etc.) using data-driven techniques for metocean processes simulation. The mod
Autor:
Irina Deeva
Publikováno v:
Procedia Computer Science. 156:185-193
The digitisation process of objects and operations of the real world is quite active, i.e. creating their digital entities or models. People regularly leave enough of their data in social networks services and on various sites, thus forming their uni
Publikováno v:
E3S Web of Conferences, Vol 273, p 10052 (2021)
The study is dedicated to identifying effective PR practices for building mutually beneficial relations between governmental organizations and the corresponding social groups, the problems of the organization's first person positive image creation, s
Autor:
Anna V. Kalyuzhnaya, Anton Voskresenskiy, Anna V. Bubnova, Irina Deeva, N. Bukhanov, Petr Andriushchenko, Nikolay O. Nikitin
Publikováno v:
Computational Science – ICCS 2021 ISBN: 9783030779603
ICCS (1)
ICCS (1)
In this paper, a multipurpose Bayesian-based method for data analysis, causal inference and prediction in the sphere of oil and gas reservoir development is considered. This allows analysing parameters of a reservoir, discovery dependencies among par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70aefe1963dd367487323e63303a5128
https://doi.org/10.1007/978-3-030-77961-0_33
https://doi.org/10.1007/978-3-030-77961-0_33