Construction of an ensemble of logical correctors on the basis of elementary classifiers

  • Authors:
  • E. V. Djukova;Yu. I. Zhuravlev;R. M. Sotnezov

  • Affiliations:
  • Institution of Russian Academy of Sciences Dorodnicyn Computing Centre of RAS, Moscow, Russia 119333;Institution of Russian Academy of Sciences Dorodnicyn Computing Centre of RAS, Moscow, Russia 119333;Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow, Russia 119234

  • Venue:
  • Pattern Recognition and Image Analysis
  • Year:
  • 2011

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Abstract

A problem of constructing correct recognition algorithms on the basis of incorrect elementary classifiers is considered. A model of recognition procedures based on the construction of a family of logical correctors is proposed and analyzed. To this end, a genetic approach is applied that allows one, first, to reduce the computational cost and, second, to construct correctors with high recognition ability. This model is tested on real problems.