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Empirical risk minimization and problems of constructing linear classifiers

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Publication:464946
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DOI10.1007/S10559-011-9344-0zbMATH Open1306.90102OpenAlexW2052096767MaRDI QIDQ464946

A. P. Vinogradov, Yu. P. Laptin, Yu. I. Zhuravlev

Publication date: 30 October 2014

Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10559-011-9344-0



zbMATH Keywords

optimization methodempirical risklinear classification algorithmlinear separability of setssupport vector method


Mathematics Subject Classification ID

Mixed integer programming (90C11)


Cites Work

  • Optimal pattern recognition procedures and their application
  • An approach to the solution of nonlinear unconstrained optimization problems
  • Nondifferentiable optimization and polynomial problems
  • Structure of homothetic linearly separable sets in \(n\)-dimensional Euclidean space. I


Related Items (2)

Linear classifier and projection onto a polytope ⋮ Stochastic generalized gradient methods for training nonconvex nonsmooth neural networks






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