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8 ta ish

Ish: Construction of decision rules for pattern recognition in the event of erroneous division of classes of the training sample

  1. Formation an informative description of recognizable objects

    Shavkat Fazilov, Narzillo Mamatov

    MaqolaAdvanced Computational Techniques in Science and EngineeringJournal of Physics Conference Series201917 iqtibos
    ABI

  2. Building a model of recognizing operators based on the definition of basic reference objects

    Mirzoyan Kamilov, Shavkat Fazilov, Гулмира Мирзаева +2

    MaqolaMining and Gasification TechnologiesJournal of Physics Conference Series202015 iqtibos
    ABI

  3. Estimates calculations algorithms in condition of huge dimensions of features' space

    Mirzoyan Kamilov, Shavkat Fazilov, Nomaz Mirzaev +1

    MaqolaAdvanced Scientific Research Methods201210 iqtibos
    ABI

  4. Pattern Recognition and Classification

    Geoff Dougherty

    Kitob20124 iqtibos
    ABI

  5. Synthesis of feature spaces ensuring the quality and reliability of recognition

    Kosim Bekmuratov, Dilshod Bekmuratov, A.R. Akhatov

    MaqolaAdvanced Computational Techniques in Science and Engineering20194 iqtibos
    ABI

  6. Rethinking statistical learning theory: learning using statistical invariants

    Vladimir Vapnik, Rauf Izmailov

    Maqola20183 iqtibos
    ABI

  7. Linear classifiers and selection of informative features

    Yu. I. Zhuravlev, Yu. P. Laptin, А. П. Виноградов +3

    Maqola20172 iqtibos
    ABI

  8. The Nature of Statistical Learning Theory

    Vladimir Vapnik

    Kitob20002 iqtibos
    ABI