Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kriukova, Galyna"'
Autor:
Tkachenko, Pavlo *, Kriukova, Galyna, Aleksandrova, Marharyta, Chertov, Oleg, Renard, Eric, Pereverzyev, Sergei V.
Publikováno v:
In Computer Methods and Programs in Biomedicine October 2016 134:179-186
Publikováno v:
In Journal of Complexity April 2016 33:14-29
Publikováno v:
In Neural Networks January 2016 73:26-35
Autor:
Kriukova, Galyna
Publikováno v:
Mohyla Mathematical Journal; Том 1 (2018): Mohyla Mathematical Journal; 15-20
Могилянський математичний журнал; Том 1 (2018): Могилянський математичний журнал; 15-20
Могилянський математичний журнал; Том 1 (2018): Могилянський математичний журнал; 15-20
Hidden Markov models are a well-known probabilistic graphical model for time series of discrete, partially observable stochastic processes. We consider the method to extend the application of hidden Markov models to non-Gaussian continuous distributi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=scientific_p::072064eb03fbc1ce1fd14f6b1c5ae47e
http://mmj.ukma.edu.ua/article/view/152601
http://mmj.ukma.edu.ua/article/view/152601
Publikováno v:
Наукові вісті КПІ; № 1 (2017): ; 48-53
Научные вести КПИ; № 1 (2017): ; 48-53
Research Bulletin of the National Technical University of Ukraine "Kyiv Politechnic Institute"; № 1 (2017): Engineering; 48-53
Научные вести КПИ; № 1 (2017): ; 48-53
Research Bulletin of the National Technical University of Ukraine "Kyiv Politechnic Institute"; № 1 (2017): Engineering; 48-53
Background. Development of automated diagnostic requires selection and improvement of appropriate machine learning methods, in particular multiclass recognition. Artificial Neural Networks (ANN) of various architecture are considered as an approach t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=scientific_p::2bd06f7a732710610fe6d29073d0ae12
http://bulletin.kpi.ua/article/view/93128
http://bulletin.kpi.ua/article/view/93128
Akademický článek
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Autor:
Kriukova, Galyna, Hasler, Martin
In this paper we study the transition from incoherence to coherence in large network of arbitrary coupled, heterogeneous, continuous-time dynamical systems (phase oscillators). We analytically study a generalized Kuramoto model by the instrumentality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::0f09c08c62e26d85eecfeb8bbd8d6a07
https://infoscience.epfl.ch/record/140763
https://infoscience.epfl.ch/record/140763
