Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Litvinenko, Natalya"'
An accurate qualitative and comprehensive assessment of human potential is one of the most important challenges in any company or collective. We apply Bayesian networks for developing more accurate overall estimations of psychological characteristics
Externí odkaz:
http://arxiv.org/abs/1708.00060
Autor:
Litvinenko, Natalya
This problem was solved within the framework of the grant project "Solving of problems of cluster analysis with application of parallel algorithms and cloud technologies" in the Institute of Mathematics and Mathematical Modelling in Almaty. The probl
Externí odkaz:
http://arxiv.org/abs/1402.3788
Autor:
Litvinenko, Natalya
In this paper we solve on GPUs massive problems with large amount of data, which are not appropriate for solution with the SIMD technology. For the given problem we consider a three-level parallelization. The multithreading of CPU is used at the top
Externí odkaz:
http://arxiv.org/abs/1402.3789
Autor:
Shayakhmetova, Assem1 asemshayakhmetova@mail.ru, Litvinenko, Natalya2 n.litvinenko@inbox.ru, Mamyrbayev, Orken1 morkenj@mail.ru, Wójcik, Waldemar3 waldemar.wojcik@pollub.pl, Zhamangarin, Dusmat4
Publikováno v:
International Journal of Electronics & Telecommunications. 2021, Vol. 67 Issue 2, p181-186. 6p.
Publikováno v:
ITM Web of Conferences, Vol 24, p 01013 (2019)
There are various methods of objects’ clusterization used in different areas of machine learning. Among the vast amount of clusterization methods, the K-means method is one of the most popular. Such a method has as pros as cons. Speaking about the
Externí odkaz:
https://doaj.org/article/eb776bcc20f349d689c9b9d7fd630e9e
Publikováno v:
Przegląd Elektrotechniczny; 2020, Vol. 96 Issue 12, p252-255, 4p
Publikováno v:
ITM Web of Conferences; 2019, Vol. 24, pN.PAG-N.PAG, 6p
Autor:
LITVINENKO, Alexander, MAMYRBAYEV, Orken, LITVINENKO, Natalya, SHAYAKHMETOVA, Assem, KOTYRA, Andrzej
Publikováno v:
Przegląd Elektrotechniczny; 2019, Vol. 95 Issue 5, p92-97, 6p