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Работы, цитирующие эту работу

Работ: 7

Работа: 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

    СтатьяFace and Expression RecognitionProcedia Computer Science2024Цитирований: 9
    ABI

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

    Olimjon Mirzaev, Sobirjon Radjabov, Гулмира Мирзаева +2

    ГлаваAdvanced Computational Techniques in Science and EngineeringCommunications in computer and information science2022Цитирований: 6
    ABI

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

    Shavkat Fazilov, Nomaz Mirzaev, Sobirjon Radjabov +2

    СтатьяAdvanced Computational Techniques in Science and EngineeringE3S Web of Conferences2023Цитирований: 5
    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

    СтатьяAdvanced Computational Techniques in Science and EngineeringProcedia Computer Science2024Цитирований: 5
    ABI

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

    Sayyora Ibragimova, Sobirjon Radjabov, Olimjon Mirzaev +2

    ГлаваAdvanced Computational Techniques in Science and EngineeringCommunications in computer and information science2022Цитирований: 5
    ABI

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

    Гулмира Мирзаева

    ГлаваAdvanced Computational Techniques in Science and EngineeringLecture notes in networks and systems2022Цитирований: 2
    ABI

  7. Recognition models based on support elementary classifiers

    Olimjon Mirzaev, Abdujabbar Abidov, Irina Zhukovskaya +2

    СтатьяScientific Research Methodologies and Applications2025Цитирований: 0
    ABI