Zobrazeno 1 - 10
of 57
pro vyhledávání: '"A. L. Tulupyev"'
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 18, Iss 2, Pp 313-321 (2018)
Subject of Research. The paper deals with accounts in social network websites as a source of information about the intensity of communication between employees in the team. On their basis we form success probability estimates for the spread of malefa
Externí odkaz:
https://doaj.org/article/db1c22d4aff740ceb210b61b778140d5
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 16, Iss 5, Pp 917-927 (2016)
Subject of Research. Algebraic Bayesian networks are referred to a class of probabilistic graphical models that are a representation of knowledge bases with uncertainty. The distinguishing feature of ABN is the availability of global structures. Amon
Externí odkaz:
https://doaj.org/article/f4a0bba972ed48f2a5ed23c08face761
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 16, Iss 1, Pp 122-132 (2016)
An improved algorithm for the synthesis of the secondary structure of algebraic Bayesian networks represented by a minimal join graph is proposed in the paper. The algorithm differs from the previously offered one so that it relies on the incremental
Externí odkaz:
https://doaj.org/article/b9149bebc2a647728479c51f7e54bc1f
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 15, Iss 4, Pp 676-684 (2015)
Posteriori inference is one of the three kinds of probabilistic-logic inferences in the probabilistic graphical models theory and the base for processing of knowledge patterns with probabilistic uncertainty using Bayesian networks. The paper deals wi
Externí odkaz:
https://doaj.org/article/0f107033f7b64d11b9a0b548436757e6
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 15, Iss 1, Pp 78-85 (2015)
We consider a task of local posteriori inference description by means of matrix-vector equations in algebraical Bayesian networks that represent a class of probabilistic graphical models. Such equations were generally presented in previous publicatio
Externí odkaz:
https://doaj.org/article/7dde2da490f94332ada228da07b4fa1b
Publikováno v:
Управленческое консультирование, Vol 0, Iss 3, Pp 104-117 (2019)
The purpose of this study is to study the impact of possible types of relationships between users, which are represented in the social network “VKontakte”, on the probability of the spread of a social engineering attack.Methods. To achieve this g
Externí odkaz:
https://doaj.org/article/ed9cf4b1f1854ce2b0b805c6378bd067
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 21, Iss 6, Pp 942-950 (2021)
The article proposes a new approach to comparing accounts of the social media “VKontakte” and “Instagram” to determine those accounts which belong to the same user. The approach is based on the comparison of graphic content; the novelty of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7525b7a41504bc54cdc69bbe4bf6e1bc
https://doi.org/10.17586/2226-1494-2021-21-6-942-950
https://doi.org/10.17586/2226-1494-2021-21-6-942-950
Autor:
A. G. Maksimov, A. L. Tulupyev
Publikováno v:
Vestnik St. Petersburg University, Mathematics. 54:187-195
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72a1f737f1cc4e34b1aa0ac6a0a5009f
https://doi.org/10.1134/s1063454121020059
https://doi.org/10.1134/s1063454121020059
Publikováno v:
Vestnik of Saint Petersburg University. Mathematics. Mechanics. Astronomy. 8:305-316
The paper investigates the construction of a joint graph as a global structure of network based on its primary structure, one of the problems arising in machine learning of bases of knowledge patterns with uncertainty, presented in the form of algebr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::768c29566bf0947771f717a69ee2d197
https://doi.org/10.21638/spbu01.2021.210
https://doi.org/10.21638/spbu01.2021.210
Publikováno v:
2022 XXV International Conference on Soft Computing and Measurements (SCM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbb2c98b8fea64fcff4129eb1164c129
https://doi.org/10.1109/scm55405.2022.9794894
https://doi.org/10.1109/scm55405.2022.9794894