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Showing 41 - 60 results of 6,851 for search '(((( algorithm value function ) OR ( algorithm rate function ))) OR ( algorithm python function ))', query time: 0.70s Refine Results
  1. 41
    Test results of different algorithms.

    Test results of different algorithms. by Ling Zhao (111365)

    Published 2025
    “…In the experiments, optimization metrics such as kinematic optimization rate (calculated based on the shortest path and connectivity between functional areas), space utilization rate (calculated by the ratio of room area to total usable space), and functional fitness (based on the weighted sum of users’ subjective evaluations and functional matches) all perform well. …”
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  2. 42
    Distribution of FEV1/FVC in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians.

    Distribution of FEV1/FVC in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians. by Yuh-Chin T. Huang (17867207)

    Published 2024
    Subjects:
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  3. 43
    WERs for different SE algorithms.

    WERs for different SE algorithms. by Fahad Khalil Peracha (15453204)

    Published 2023
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  4. 44
    Regression function between network training, verification and prediction output values.

    Regression function between network training, verification and prediction output values. by Bo Yu (241082)

    Published 2021
    Subjects: “…corresponding learning rate…”
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  5. 45
    An expectation-maximization algorithm for finding noninvadable stationary states.

    An expectation-maximization algorithm for finding noninvadable stationary states. by Robert Marsland (8616483)

    Published 2020
    “…<p><i>(a)</i> Noninvadable states by definition can only exist in the region Ω of resource space where the growth rate <i>dN</i><sub><i>i</i></sub>/<i>dt</i> of each species <i>i</i> is zero or negative. …”
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  6. 46
    Completion times for different algorithms.

    Completion times for different algorithms. by Jianbin Zheng (587000)

    Published 2025
    “…Action masking is used to filter out invalid states and actions, while a shared reward mechanism is adopted to balance cooperation efficiency among agents. Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …”
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  7. 47
    The average cumulative reward of algorithms.

    The average cumulative reward of algorithms. by Jianbin Zheng (587000)

    Published 2025
    “…Action masking is used to filter out invalid states and actions, while a shared reward mechanism is adopted to balance cooperation efficiency among agents. Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …”
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  8. 48
    Distribution of total lung capacity (TLC) in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians.

    Distribution of total lung capacity (TLC) in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians. by Yuh-Chin T. Huang (17867207)

    Published 2024
    Subjects:
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  9. 49
    Comparison of average precision mean and loss function for different models.

    Comparison of average precision mean and loss function for different models. by Ting Wang (16292)

    Published 2025
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  10. 50
    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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  11. 51
    The topology of the NYN.

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

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  12. 52
    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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  13. 53
    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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  14. 54
    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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  15. 55
    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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  16. 56
    The topology of HN.

    The topology of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  17. 57
    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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  18. 58
    RMSE value of different missing rates on UCI Heart dataset.

    RMSE value of different missing rates on UCI Heart dataset. by Xing Chen (140292)

    Published 2024
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  19. 59
    Convergence curve of each DSM algorithms.

    Convergence curve of each DSM algorithms. by Manoj Kumar V. (18196645)

    Published 2024
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  20. 60
    Simulation settings of rMAPPO algorithm.

    Simulation settings of rMAPPO algorithm. by Jianbin Zheng (587000)

    Published 2025
    “…Action masking is used to filter out invalid states and actions, while a shared reward mechanism is adopted to balance cooperation efficiency among agents. Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …”
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