An approach to the selection of hyperplane for recognition algorithms

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.

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References

  1. 1.

    Yu. I. Zhuravlev, “Correct Algebras over Sets of Incorrect (Heuristic) Algorithms: Part I,” Kibernetika, No. 4, 5–17 (1977).

  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)].

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Correspondence to E. I. Lysenok.

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Original Russian Text © E.I. Lysenok, 2010, published in Zhurnal Vychislitel’noi Matematiki i Matematicheskoi Fiziki, 2010, Vol. 50, No. 10, pp. 1862–1864.

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Lysenok, E.I. An approach to the selection of hyperplane for recognition algorithms. Comput. Math. and Math. Phys. 50, 1767–1768 (2010). https://doi.org/10.1134/S096554251010012X

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Key words

  • classification
  • recognition
  • hyperplane
  • basis
  • feature
  • object