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Showing 121 - 140 results of 3,896 for search '(( algorithms linear function ) OR ( ((algorithm python) OR (algorithm both)) function ))', query time: 0.54s Refine Results
  1. 121
    Number of cases in the top ordering, shown as a function of the sample size.

    Number of cases in the top ordering, shown as a function of the sample size. by Jun’ichi Kotoku (694705)

    Published 2020
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  2. 122
    3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER.

    3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

    Published 2019
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  3. 123
    Comparison of computational time, number of iterations, and computational time per iteration between linear solvers.

    Comparison of computational time, number of iterations, and computational time per iteration between linear solvers. by Antoine Falisse (6061601)

    Published 2019
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  4. 124
    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER.

    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

    Published 2019
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  5. 125
    Proportional survival plot of asymptotic, linear, logistic, and pseudo-gamma functional forms against growth time.

    Proportional survival plot of asymptotic, linear, logistic, and pseudo-gamma functional forms against growth time. by Ryu B. Lippmann (14797597)

    Published 2023
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  6. 126
    Performance of PCA and Joint Autoencoder (JAE) denoising algorithms.

    Performance of PCA and Joint Autoencoder (JAE) denoising algorithms. by Ege Altan (11768156)

    Published 2021
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  7. 127
    Hierarchical regression results.

    Hierarchical regression results. by Muna Saleh (10775575)

    Published 2024
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  8. 128
    SHAP values (impact on model output).

    SHAP values (impact on model output). by Muna Saleh (10775575)

    Published 2024
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  9. 129
    Variable importance for the fitted XGBoost model.

    Variable importance for the fitted XGBoost model. by Muna Saleh (10775575)

    Published 2024
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  10. 130
    ITAE objective function values for all runs of en-CSA, CSA, RUN, PDO and RIME algorithms.

    ITAE objective function values for all runs of en-CSA, CSA, RUN, PDO and RIME algorithms. by Sarah A. Alzakari (19704611)

    Published 2024
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  11. 131
    Boxplot analysis for ITAE objective function using en-CSA, CSA, RUN, PDO and RIME algorithms.

    Boxplot analysis for ITAE objective function using en-CSA, CSA, RUN, PDO and RIME algorithms. by Sarah A. Alzakari (19704611)

    Published 2024
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  12. 132
    Information of nodes and pipes of NYN.

    Information of nodes and pipes of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  13. 133
    The topology of the NYN.

    The topology of the NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  14. 134
    The result of Wilcoxon signed-rand test.

    The result of Wilcoxon signed-rand test. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  15. 135
    The Simulation and optimization process of pipe diameter selection.

    The Simulation and optimization process of pipe diameter selection. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  16. 136
    Optional pipe diameter and unit price of NYN.

    Optional pipe diameter and unit price of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  17. 137
    Optional pipe diameter and unit price of HN.

    Optional pipe diameter and unit price of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  18. 138
    The topology of HN.

    The topology of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  19. 139
    Information of nodes and pipes of HN.

    Information of nodes and pipes of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  20. 140
    Power flow and cost optimization with APSO variant-16 of APSO algorithm (b).

    Power flow and cost optimization with APSO variant-16 of APSO algorithm (b). by Muhammad Ahmad Iqbal (11851338)

    Published 2021
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