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Showing 81 - 100 results of 2,468 for search '(( algorithm pre function ) OR ( algorithm ((within function) OR (python function)) ))*', query time: 0.52s Refine Results
  1. 81
    Boxplots obtained by testing rat575 for 20 times by each algorithm.

    Boxplots obtained by testing rat575 for 20 times by each algorithm. by Jin Zhang (53297)

    Published 2023
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  2. 82
    Boxplots obtained by testing ch150 for 50 times by each algorithm.

    Boxplots obtained by testing ch150 for 50 times by each algorithm. by Jin Zhang (53297)

    Published 2023
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  3. 83
    Table of relationships between algorithms and five strategies for two experimental groups.

    Table of relationships between algorithms and five strategies for two experimental groups. by Jin Zhang (53297)

    Published 2023
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  4. 84
    Boxplots obtained by testing fl1400 for 10 times by each algorithm.

    Boxplots obtained by testing fl1400 for 10 times by each algorithm. by Jin Zhang (53297)

    Published 2023
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  5. 85
    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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  6. 86
    Frequency of frameshift mutations in tumor suppressor genes within TCGA and DFCI cohorts.

    Frequency of frameshift mutations in tumor suppressor genes within TCGA and DFCI cohorts. by Alexis M. Thornton (11068403)

    Published 2021
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  7. 87
    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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  8. 88
    The topology of the NYN.

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

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  9. 89
    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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  10. 90
    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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  11. 91
    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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  12. 92
    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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  13. 93
    The topology of HN.

    The topology of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  14. 94
    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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  15. 95
    GD and soft loss function (Loss<sub>S</sub>) parameters are optimized through the hyperparameter tuning process within their search spaces.

    GD and soft loss function (Loss<sub>S</sub>) parameters are optimized through the hyperparameter tuning process within their search spaces. by Burcu Ozek (16949357)

    Published 2024
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  16. 96
    Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic

    Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

    Published 2019
    “…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”
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  17. 97
    Comparison of algorithms across metrics in test problems.

    Comparison of algorithms across metrics in test problems. by Jihui Hu (19812736)

    Published 2024
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  18. 98
    Results of all algorithms according to evaluation matrices.

    Results of all algorithms according to evaluation matrices. by Ahmed Bahaa (12887063)

    Published 2022
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  19. 99
    Sets of best performing parameters obtained after gridsearching through different values for each classification algorithm.

    Sets of best performing parameters obtained after gridsearching through different values for each classification algorithm. by Adhiraj Nath (17118269)

    Published 2023
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  20. 100
    Performance comparison of different mainstream algorithms.

    Performance comparison of different mainstream algorithms. by Haisong Xu (141729)

    Published 2025
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