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26 та иш

Иш: Recognition Algorithm Models Based on the Selection of Two-Dimensional Preference Threshold Functions

  1. Error Estimation for Pattern Recognition

    Braga-Neto, Ulisses M., Dougherty, Edward R. 1945-

    Китоб201516 иқтибос
    ABI
  2. Potential function methods: Efficient probabilistic approaches to model complex data distributions

    Paolo Oliveri

    Мақола20177 иқтибос
    ABI
  3. Statistical Pattern Recognition

    Andrew R. Webb, Keith D. Copsey

    Китоб20117 иқтибос
    ABI
  4. LOGICAL RECOGNITION TREE CONSTRUCTION ON THE BASIS OF A STEP-TO-STEP ELEMENTARY ATTRIBUTE SELECTION

    I. F. Povhan

    Мақола20206 иқтибос
    ABI
  5. Recognizing distributions using method of potential functions

    Piotr Sulewski

    Мақола20216 иқтибос
    ABI
  6. Logical correctors in the problem of classification by precedents

    E. V. Djukova, Yu. I. Zhuravlev, P. A. Prokofjev

    Мақола20175 иқтибос
    ABI
  7. Pattern Recognition Principles

    Боб20095 иқтибос
    ABI
  8. 3E-LDA

    Yanni Li, Bing Liu, Yongbo Yu +3

    Мақола20215 иқтибос
    ABI
  9. Сарлавҳасиз

    Бошқа5 иқтибос
    ABI
  10. Pattern Recognition

    Władysław Homenda, Witold Pedrycz

    Китоб20183 иқтибос
    ABI
  11. Pattern Recognition

    Jürgen Beyerer, Matthias Richter, Matthias Nagel

    Китоб20173 иқтибос
    ABI
  12. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI
  13. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI
  14. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI
  15. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI