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Computational Mathematics and Mathematical Physics

, Volume 50, Issue 10, pp 1767–1768 | Cite as

An approach to the selection of hyperplane for recognition algorithms

  • E. I. LysenokEmail author
Article
  • 18 Downloads

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 

References

  1. 1.
    Yu. I. Zhuravlev, “Correct Algebras over Sets of Incorrect (Heuristic) Algorithms: Part I,” Kibernetika, No. 4, 5–17 (1977).Google Scholar
  2. 2.
    E. I. Lysenok, “Correctness of the Linear Closure of Hyperplane-Based Recognition Algorithms,” Zh. Vychisl. Mat. Mat. Fiz. 49, 1885–1904 (2009) [Comput. Math. Math. Phys. 49, 1805–1814 (2009)].Google Scholar

Copyright information

© Pleiades Publishing, Ltd. 2010

Authors and Affiliations

  1. 1.Faculty of Computational Mathematics and CyberneticsMoscow State UniversityMoscowRussia

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