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Showing 1 - 20 results of 115 for search '(( binary data learning optimization algorithm ) OR ( binary data step optimization algorithm ))', query time: 0.71s Refine Results
  1. 1
    Sensitivity values of IRBMO vs. other binary algorithms.

    Sensitivity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  2. 2
    Specificity values of IRBMO vs. other binary algorithms.

    Specificity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  3. 3
    Fitness values of IRBMO vs. other binary algorithms.

    Fitness values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  4. 4
    Number of features selected for IRBMO vs. other binary algorithms.

    Number of features selected for IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  5. 5
    Classification accuracy values of IRBMO vs. other binary algorithms.

    Classification accuracy values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  6. 6
    F-score values of IRBMO vs. other binary algorithms.

    F-score values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  7. 7
    One advantage of our algorithm is that it is not binary in nature.

    One advantage of our algorithm is that it is not binary in nature. by Yong Kuk Kim (13955214)

    Published 2022
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  8. 8
    Results of Holm’s step-down procedure.

    Results of Holm’s step-down procedure. by Nebojsa Bacanin (13932723)

    Published 2022
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  9. 9
    The Pseudo-Code of the IRBMO Algorithm.

    The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

    Published 2025
    “…<div><p>Feature selection is a crucial preprocessing step in the fields of machine learning, data mining and pattern recognition. …”
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  10. 10
    IRBMO vs. meta-heuristic algorithms boxplot.

    IRBMO vs. meta-heuristic algorithms boxplot. by Chenyi Zhu (9383370)

    Published 2025
    “…<div><p>Feature selection is a crucial preprocessing step in the fields of machine learning, data mining and pattern recognition. …”
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  11. 11
    IRBMO vs. feature selection algorithm boxplot.

    IRBMO vs. feature selection algorithm boxplot. by Chenyi Zhu (9383370)

    Published 2025
    “…<div><p>Feature selection is a crucial preprocessing step in the fields of machine learning, data mining and pattern recognition. …”
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  12. 12
    IRBMO vs. variant comparison adaptation data.

    IRBMO vs. variant comparison adaptation data. by Chenyi Zhu (9383370)

    Published 2025
    “…<div><p>Feature selection is a crucial preprocessing step in the fields of machine learning, data mining and pattern recognition. …”
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  13. 13
    The result of the accuracy of tested algorithms.

    The result of the accuracy of tested algorithms. by Nebojsa Bacanin (13932723)

    Published 2022
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  14. 14
    Feature selection ratio results for tested algorithms.

    Feature selection ratio results for tested algorithms. by Nebojsa Bacanin (13932723)

    Published 2022
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  15. 15
    Best fitness value results for tested algorithms.

    Best fitness value results for tested algorithms. by Nebojsa Bacanin (13932723)

    Published 2022
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  16. 16
    Mean fitness value results for tested algorithms.

    Mean fitness value results for tested algorithms. by Nebojsa Bacanin (13932723)

    Published 2022
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  17. 17
    Pseudo Code of RBMO.

    Pseudo Code of RBMO. by Chenyi Zhu (9383370)

    Published 2025
    “…<div><p>Feature selection is a crucial preprocessing step in the fields of machine learning, data mining and pattern recognition. …”
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  18. 18
    P-value on CEC-2017(Dim = 30).

    P-value on CEC-2017(Dim = 30). by Chenyi Zhu (9383370)

    Published 2025
    “…<div><p>Feature selection is a crucial preprocessing step in the fields of machine learning, data mining and pattern recognition. …”
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  19. 19
    Memory storage behavior.

    Memory storage behavior. by Chenyi Zhu (9383370)

    Published 2025
    “…<div><p>Feature selection is a crucial preprocessing step in the fields of machine learning, data mining and pattern recognition. …”
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  20. 20
    Elite search behavior.

    Elite search behavior. by Chenyi Zhu (9383370)

    Published 2025
    “…<div><p>Feature selection is a crucial preprocessing step in the fields of machine learning, data mining and pattern recognition. …”
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