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pro vyhledávání: '"Semenov, Vasyl"'
This paper describes applying manifold learning, the novel technique of dimensionality reduction, to the images of the Galaxy Zoo DECaLs database with the purpose of building an unsupervised learning model for galaxy morphological classification. The
Externí odkaz:
http://arxiv.org/abs/2412.09358
Autor:
Semenov, Vasyl
Publikováno v:
Математичне та комп'ютерне моделювання. Серія: Фізико-математичні науки; 2018: Математичне та комп'ютерне моделювання. Серія: Фізико-математичні науки. Випуск 18; 135-145
Mathematical and computer modelling. Series: Physical and mathematical sciences; 2018: Mathematical and computer modelling. Series: Physical and mathematical sciences. Issue 18; 135-145
Mathematical and computer modelling. Series: Physical and mathematical sciences; 2018: Mathematical and computer modelling. Series: Physical and mathematical sciences. Issue 18; 135-145
The paper considers the estimation of the parameters of autoregressive model at additive white noise background. The principle of maximum likelihood is used for this purpose. The main goal is to find the maximum of likelihood function depending on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=scientific_p::f5b3d0fd1c2db65ec90d90e13c20bdb7
http://mcm-math.kpnu.edu.ua/article/view/159392
http://mcm-math.kpnu.edu.ua/article/view/159392
Akademický článek
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Autor:
Semenov, Vasyl
Publikováno v:
Computational Methods in Applied Mathematics; 2011, Vol. 11 Issue 1, p67-74, 8p