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6 ta ish

Ish: Statistical approach to building a model of recognition operators under conditions of high dimensionality of a feature space

  1. Recognition Algorithms Based on the Selection of 2D Representative Pseudo-objects

    Olimjon Mirzaev, Sobirjon Radjabov, Гулмира Мирзаева +2

    BobAdvanced Computational Techniques in Science and EngineeringCommunications in computer and information science20226 iqtibos
    ABI

  2. About One Feature Selection Algorithm in Pattern Recognition

    Akhram Nishanov, Bakhtiyorjon Akbaraliev, Sh. Kh. Tajibaev

    BobAdvanced Research in Systems and Signal ProcessingAdvances in intelligent systems and computing20216 iqtibos
    ABI

  3. Family of recognition algorithms based on the selection of two-dimensional representative pseudo-objects in the training set

    Shavkat Fazilov, Olimjon Mirzaev, Sobirjon Radjabov +2

    MaqolaAdvanced Computational Techniques in Science and EngineeringProcedia Computer Science20245 iqtibos
    ABI

  4. Recognition Algorithm Models Based on the Selection of Two-Dimensional Preference Threshold Functions

    Sayyora Ibragimova, Sobirjon Radjabov, Olimjon Mirzaev +2

    BobAdvanced Computational Techniques in Science and EngineeringCommunications in computer and information science20225 iqtibos
    ABI

  5. Models of Recognition Algorithms Based on Construction of Two-Dimensional Logical Classifiers

    Гулмира Мирзаева

    BobAdvanced Computational Techniques in Science and EngineeringLecture notes in networks and systems20222 iqtibos
    ABI

  6. Model of recognition algorithms based on the selection of basic objects

    Maxamadaziz Rasulmukhamedov, Olimjon Mirzaev, Shoyatbek Khakimov +1

    MaqolaNeural Networks and ApplicationsAIP conference proceedings20231 iqtibos
    ABI