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Showing 121 - 140 results of 15,656 for search '(( algorithm pca function ) OR ( ((algorithm python) OR (algorithm a)) function ))*', query time: 0.61s Refine Results
  1. 121
    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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  2. 122
    Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy

    Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy by Yujin Wu (2901128)

    Published 2021
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  3. 123
    Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy

    Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy by Yujin Wu (2901128)

    Published 2021
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  4. 124
    (a) Radar chart of 4 algorithms, (b) The sorting diagram of 4 algorithms.

    (a) Radar chart of 4 algorithms, (b) The sorting diagram of 4 algorithms. by Yu Liu (6938)

    Published 2025
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  5. 125
    Proposed algorithm mean and standard deviation (StDev) versus compared algorithms for the benchmark functions.

    Proposed algorithm mean and standard deviation (StDev) versus compared algorithms for the benchmark functions. by El-Sayed M. El-kenawy (14581088)

    Published 2023
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  6. 126
    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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  7. 127
    The topology of the NYN.

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

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  8. 128
    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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  9. 129
    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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  10. 130
    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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  11. 131
    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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  12. 132
    The topology of HN.

    The topology of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  13. 133
    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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  14. 134
    Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms.

    Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms. by Tehnan I. A. Mohamed (16846175)

    Published 2023
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  15. 135
    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
    “…These implementations need to utilize high-precision arithmetic, and are programmed in the Python programming language. A thorough comparison with existing R functions allows the identification of cases when the latter fail, and provide further guidance to their use.…”
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  16. 136
    Schematic diagram of the TEAPS algorithm.

    Schematic diagram of the TEAPS algorithm. by Yoshiaki Kariya (13767985)

    Published 2022
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  17. 137
    Algorithm results based on FE simulated likelihood functions.

    Algorithm results based on FE simulated likelihood functions. by Nicolas Herzig (9230425)

    Published 2020
    “…<p>(A) Nodule depth estimation by the algorithm with the likelihood functions obtained by FEM simulation. …”
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  18. 138
    Distribution of objective function values solved by three algorithms.

    Distribution of objective function values solved by three algorithms. by Meilin Zhu (688698)

    Published 2025
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  19. 139
    Comparison of results of algorithms under five standard functions.

    Comparison of results of algorithms under five standard functions. by Kemal Gökhan Nalbant (18858009)

    Published 2024
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  20. 140
    The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers.

    The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. by Solomon Shiferaw Beyene (9143178)

    Published 2020
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