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Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2012, Issue 3, Pages 3–17
(Mi itvs84)
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MATHEMATICAL MODELLING
Data dimensionality reduction in simulation modeling
Ju. G. Agalakova, A. V. Bernsteinb a Semenikhin Research Institute, Moscow
b Institute for Systems Analysis of Russian Academy of Sciences
Abstract:
The intellectual data analysis problems motivated by predictive modeling technology are considered. Dimensionality reduction technique used for reducing a complexity of these problems has to satisfy to some specific requirements. These requirements are discussed and the new unconventional statements for dimensionality reduction problems are formulated in the paper.
Keywords:
dimensionality reduction, manifold learning, metamodeling, simulation modeling, computer networks.
Citation:
Ju. G. Agalakov, A. V. Bernstein, “Data dimensionality reduction in simulation modeling”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2012, no. 3, 3–17
Linking options:
https://www.mathnet.ru/eng/itvs84 https://www.mathnet.ru/eng/itvs/y2012/i3/p3
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| Statistics & downloads: |
| Abstract page: | 126 | | Full-text PDF : | 253 | | References: | 5 |
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