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JOURNALS // 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


 English version:
Computational Mathematics and Mathematical Physics, 2010, 50:10, 1767–1768

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© Steklov Math. Inst. of RAS, 2026