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Showing 1 - 20 results of 757 for search '(( algorithm pre function ) OR ( algorithm state function ))', query time: 0.38s Refine Results
  1. 1
    Accuracy of the Random forest algorithm for different values of test samples and different choice of random states.

    Accuracy of the Random forest algorithm for different values of test samples and different choice of random states. by Abeer Aljohani (18497914)

    Published 2025
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  2. 2
    Parametric study of accuracy of the Random forest algorithm for different proportions of test samples and different choice of random states.

    Parametric study of accuracy of the Random forest algorithm for different proportions of test samples and different choice of random states. by Abeer Aljohani (18497914)

    Published 2025
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  3. 3
    Confusion matrix values for different size of test samples and different choice of random states.

    Confusion matrix values for different size of test samples and different choice of random states. by Abeer Aljohani (18497914)

    Published 2025
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  4. 4
    Membership function of output for tank 1.

    Membership function of output for tank 1. by Tamiru Demelash Kassie (20678515)

    Published 2025
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  5. 5
    Membership function of output for tank 2.

    Membership function of output for tank 2. by Tamiru Demelash Kassie (20678515)

    Published 2025
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  6. 6
    Average function evaluation times of the three optimization algorithms.

    Average function evaluation times of the three optimization algorithms. by Shuhui Yu (1535500)

    Published 2025
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  7. 7
    Summary of recent and state-of-the-art optimization algorithms.

    Summary of recent and state-of-the-art optimization algorithms. by Mahmood A. Jumaah (22272371)

    Published 2025
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  8. 8
    Membership function of error E1 for tank 1.

    Membership function of error E1 for tank 1. by Tamiru Demelash Kassie (20678515)

    Published 2025
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  9. 9
    Membership function of error E2 for tank 2.

    Membership function of error E2 for tank 2. by Tamiru Demelash Kassie (20678515)

    Published 2025
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  10. 10
    Performance comparisons of OMWOA with state-of-the-art competitors on the IEEE CEC 2022 benchmark functions.

    Performance comparisons of OMWOA with state-of-the-art competitors on the IEEE CEC 2022 benchmark functions. by Kankan Tang (21474968)

    Published 2025
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  11. 11
    Ant colony algorithm function and parameter explanation.

    Ant colony algorithm function and parameter explanation. by Yang Yu (4292)

    Published 2025
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  12. 12
    Performance comparisons of MGFOA with state-of-the-art competitors on the IEEE CEC 2022 benchmark functions.

    Performance comparisons of MGFOA with state-of-the-art competitors on the IEEE CEC 2022 benchmark functions. by Yang Gao (18005)

    Published 2025
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  13. 13
    Comparative validation of overflow state feedback indicator in reward functions.

    Comparative validation of overflow state feedback indicator in reward functions. by Yulin Tian (1457986)

    Published 2025
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  14. 14
    Box plots of different algorithms on CEC2017 test function.

    Box plots of different algorithms on CEC2017 test function. by Tengfei Ma (597633)

    Published 2025
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  15. 15
    The benchmark functions.

    The benchmark functions. by Shuhui Yu (1535500)

    Published 2025
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  16. 16
    PATH has state-of-the-art performance versus previous binding affinity prediction algorithms.

    PATH has state-of-the-art performance versus previous binding affinity prediction algorithms. by Yuxi Long (11024307)

    Published 2025
    “…<sup><b>b</b></sup>ROC curves of scoring functions benchmarked on the DUD-E dataset show PATH<sup>−</sup> has state-of-the-art performance in discriminating decoys in the DUD-E dataset. …”
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  17. 17
    CEC2017 test function images and iteration curves of different algorithms.

    CEC2017 test function images and iteration curves of different algorithms. by Tengfei Ma (597633)

    Published 2025
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  18. 18
    Pathway activity and single-cell level functional states of CEDGs in cancer.

    Pathway activity and single-cell level functional states of CEDGs in cancer. by Yuxi Gu (11386081)

    Published 2025
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  19. 19
    Gillespie algorithm simulation parameters.

    Gillespie algorithm simulation parameters. by Nicholas H. Vitale (20469289)

    Published 2024
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  20. 20
    A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases

    A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases by Maru Song (22593561)

    Published 2025
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