يعرض 1 - 19 نتائج من 19 نتيجة بحث عن '(( binary age structure optimization algorithm ) OR ( primary data wolf optimization algorithm ))', وقت الاستعلام: 0.70s تنقيح النتائج
  1. 1

    S1 Data - حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
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    Parameter settings for algorithms. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  3. 3

    Parameter settings for algorithms. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  4. 4

    Average runtime of different algorithms. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  5. 5

    Average runtime of different algorithms. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
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    Flowchart of GJO-GWO algorithm. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  7. 7

    Detailed information of benchmark functions. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  8. 8

    Evaluation metrics of the models’ performance. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
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    Detailed information of datasets. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  10. 10

    Friedman test results. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
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    Average number of selected features. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
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    Wilcoxon rank sum test results. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  13. 13

    Wilcoxon rank sum test results. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  14. 14

    Average number of selected features. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
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    Supplementary Material for: Penalized Logistic Regression Analysis for Genetic Association Studies of Binary Phenotypes حسب Yu Y. (3096192)

    منشور في 2022
    "…We consider two approximate approaches to maximizing the marginal likelihood: (i) a Monte Carlo EM algorithm (MCEM) and (ii) a Laplace approximation (LA) to each integral, followed by derivative-free optimization of the approximation. …"
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