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7 ta ish

Ish: Potential function methods: Efficient probabilistic approaches to model complex data distributions

  1. A family of recognition algorithms based on the construction of k-dimensional threshold rules

    Olimjon Mirzaev, Sobirjon Radjabov, Nomaz Mirzaev +2

    MaqolaFace and Expression RecognitionProcedia Computer Science20249 iqtibos
    ABI

  2. 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

  3. Recognition algorithms based on the construction of threshold rules using two-dimensional representative pseudo-objects

    Shavkat Fazilov, Nomaz Mirzaev, Sobirjon Radjabov +2

    MaqolaAdvanced Computational Techniques in Science and EngineeringE3S Web of Conferences20235 iqtibos
    ABI

  4. 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

  5. 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

  6. 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

  7. Recognition models based on support elementary classifiers

    Olimjon Mirzaev, Abdujabbar Abidov, Irina Zhukovskaya +2

    MaqolaScientific Research Methodologies and Applications20250 iqtibos
    ABI