Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Anatolii G. Maksimov"'
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
Publikováno v:
Computer tools in education. :59-65
The article is aimed at summarizing the concepts of a derivative graph and a primitive graph for graphs with backbone connectivity. Theorems are formulated and proved on the main connectedness of the graph of the derivative and on the primitive graph
Publikováno v:
Recent Research in Control Engineering and Decision Making ISBN: 9783030652821
The article presents the results of the study of the upper assessment of the sensitivity of solving the second problem of local posterior inference. The result is the found upper exponential estimate. The theoretical and practical significance of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ce1151ea397eb564c933796948772ee
https://doi.org/10.1007/978-3-030-65283-8_33
https://doi.org/10.1007/978-3-030-65283-8_33
Publikováno v:
Recent Research in Control Engineering and Decision Making ISBN: 9783030652821
The article presents methods for solving the problem of global a priori inference in algebraic Bayesian networks (ABN) for scalar and interval estimates in knowledge patterns of network. The practical significance is that the ability to solve these p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0276c260c0627dc674a022fd892d6b36
https://doi.org/10.1007/978-3-030-65283-8_32
https://doi.org/10.1007/978-3-030-65283-8_32
Publikováno v:
Artificial Intelligence ISBN: 9783030595340
RCAI
RCAI
One of the primary problems, arising in algebraic Bayesian networks, is the problem of checking and maintaining consistency of the knowledge pattern. It can be reduced to the linear programming problem, which methods of solving are well studied. Howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a588312bb131b0d0e827056fcbe075c
https://doi.org/10.1007/978-3-030-59535-7_11
https://doi.org/10.1007/978-3-030-59535-7_11
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030500962
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 parallel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdb2e2fa594d70c3b683eb52b8143395
https://doi.org/10.1007/978-3-030-50097-9_22
https://doi.org/10.1007/978-3-030-50097-9_22
Autor:
Stanislav Kutenkov, Anatolii G. Maksimov, Vladimir Antipin, Raimo Heikkilä, Oleg A. Kuznetsov, Viktor Mironov, Tapio Lindholm
Publikováno v:
Transactions of the Karelian Research Centre of the Russian Academy of Sciences, Iss 1, Pp 18-31 (2017)
Ypäyssuo is the largest mire system in Karelia, which in 2015 was, together with a big part of the Kepasuo mire system, included in the newly established regional hydrological (mire) nature reserve (zakazknik) Ypäyssuo. The Ypäyssuo mire system wa