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Showing 1 - 20 results of 19,396 for search '(( algorithm machine function ) OR ( algorithm _ functional ))', query time: 0.47s Refine Results
  1. 1
    ROC analysis of the Machine Learning Algorithm.

    ROC analysis of the Machine Learning Algorithm. by Stephan Ellmann (314565)

    Published 2020
    Subjects:
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  2. 2
    Activation functions: Sigmoid function and ReLU function.

    Activation functions: Sigmoid function and ReLU function. by Wan-Hua Zhang (21601139)

    Published 2025
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  3. 3
    WGCNA and machine learning algorithms.

    WGCNA and machine learning algorithms. by Shushu Wang (6870191)

    Published 2024
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  4. 4
    Optimization algorithms performance comparison across benchmark functions.

    Optimization algorithms performance comparison across benchmark functions. by Sundreen Asad Kamal (20390818)

    Published 2024
    “…<p>Optimization algorithms performance comparison across benchmark functions.…”
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  5. 5
    The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms.

    The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. by Ahmed M. Elshewey (21463867)

    Published 2025
    “…<p>The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms.…”
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  6. 6
    Model selection for machine learning algorithm based on microbial abundances.

    Model selection for machine learning algorithm based on microbial abundances. by Elio L. Herzog (11576876)

    Published 2021
    Subjects: “…applying independent algorithms…”
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  7. 7
    Flowchart of the proposed algorithm.

    Flowchart of the proposed algorithm. by Heewon Chung (2881286)

    Published 2019
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  8. 8
    Objective function values of different algorithms on individual problem instances.

    Objective function values of different algorithms on individual problem instances. by Panfei Li (22379086)

    Published 2025
    “…<p>Objective function values of different algorithms on individual problem instances.…”
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  9. 9
    Rule-in and rule-out criteria provided by the machine learning algorithm.

    Rule-in and rule-out criteria provided by the machine learning algorithm. by Stephan Ellmann (314565)

    Published 2020
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  10. 10
    The structure of the proposed algorithm.

    The structure of the proposed algorithm. by Mingbao Yang (14008799)

    Published 2022
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  11. 11
    Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>14−<i>f</i>23.

    Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>14−<i>f</i>23. by Ying Li (38224)

    Published 2024
    “…<p>Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>14−<i>f</i>23.…”
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  12. 12
    Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>8−<i>f</i>13.

    Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>8−<i>f</i>13. by Ying Li (38224)

    Published 2024
    “…<p>Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>8−<i>f</i>13.…”
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  13. 13
    The proposed feature extraction algorithm.

    The proposed feature extraction algorithm. by Ali Ahmed (2567584)

    Published 2020
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  14. 14
    Great machine learning performance with multiple classification algorithms.

    Great machine learning performance with multiple classification algorithms. by Sydney C. Weiser (15383531)

    Published 2023
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  15. 15
    AIF and VOF derived features used to feed the machine learning algorithms.

    AIF and VOF derived features used to feed the machine learning algorithms. by Ezequiel de la Rosa (11361108)

    Published 2023
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  16. 16
    Critical values of membership functions learned from the study cohort by the algorithm.

    Critical values of membership functions learned from the study cohort by the algorithm. by Yufeng Zhang (195768)

    Published 2023
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  17. 17
    Damping oscillation function (before adding random numbers).

    Damping oscillation function (before adding random numbers). by Fujun Wang (96184)

    Published 2021
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  18. 18
    Damping oscillation function (after adding random numbers).

    Damping oscillation function (after adding random numbers). by Fujun Wang (96184)

    Published 2021
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  19. 19
    Algorithm process of BPNN.

    Algorithm process of BPNN. by Xiaoxiang Cao (12644851)

    Published 2023
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  20. 20
    Calculation results of commonly used machine learning algorithm models.

    Calculation results of commonly used machine learning algorithm models. by Qianhui He (13522729)

    Published 2023
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