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// Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki
// Archive
Zh. Vychisl. Mat. Mat. Fiz.,
2010
Volume 50,
Number 10,
Pages
1862–1864
(Mi zvmmf4954)
An approach to the selection of hyperplane for recognition algorithms
E. I. Lysenok
Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow, 119992 Russia
Abstract:
An approach to improving the classification quality of correct algorithms based on a linear combination of algorithms based on the separation of objects by hyperplanes is proposed.
Key words:
classification, recognition, hyperplane, basis, feature, object.
UDC:
519.7
Received:
05.05.2010
Fulltext:
PDF file (148 kB)
References
English version:
Computational Mathematics and Mathematical Physics, 2010,
50
:10,
1767–1768
Bibliographic databases:
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Steklov Math. Inst. of RAS
, 2026