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Showing 21 - 40 results of 251 for search '(( less based network optimization algorithm ) OR ( binary risk based optimization algorithm ))', query time: 0.63s Refine Results
  1. 21
    The hyperparameters selected for CLPREM, as well as other settings of the model, were determined based on experience and testing.

    The hyperparameters selected for CLPREM, as well as other settings of the model, were determined based on experience and testing. by Xiaorui Wu (8322705)

    Published 2024
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  2. 22
    Statistical tests of ACC on the random network.

    Statistical tests of ACC on the random network. by Ruochen Zhang (3434996)

    Published 2024
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  3. 23
    Statistical tests of APL on the random network.

    Statistical tests of APL on the random network. by Ruochen Zhang (3434996)

    Published 2024
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  4. 24
    Statistical tests of ACC on the regular network.

    Statistical tests of ACC on the regular network. by Ruochen Zhang (3434996)

    Published 2024
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  5. 25
    Statistical tests of APL on the regular network.

    Statistical tests of APL on the regular network. by Ruochen Zhang (3434996)

    Published 2024
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  6. 26
    Optimal cluster head approach.

    Optimal cluster head approach. by Sandeep Yerrathi (17775761)

    Published 2024
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  7. 27
    Optimal cluster formation approach.

    Optimal cluster formation approach. by Sandeep Yerrathi (17775761)

    Published 2024
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  8. 28
    Hyperparameter search space used in the optimization of the Basic DeepInsight-CNN.

    Hyperparameter search space used in the optimization of the Basic DeepInsight-CNN. by Leonides Medeiros Neto (10429179)

    Published 2023
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  9. 29
    Statistical tests of ACC/APL on the random network.

    Statistical tests of ACC/APL on the random network. by Ruochen Zhang (3434996)

    Published 2024
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  10. 30
    Statistical tests of ACC/APL on the regular network.

    Statistical tests of ACC/APL on the regular network. by Ruochen Zhang (3434996)

    Published 2024
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  11. 31
    Optimal ovarian cancer BNs learned by CausNet and CausNet-partial.

    Optimal ovarian cancer BNs learned by CausNet and CausNet-partial. by Nand Sharma (21519845)

    Published 2025
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  12. 32
    The flow of the SP-DRL algorithm.

    The flow of the SP-DRL algorithm. by Jie Fang (306330)

    Published 2023
    “…A model-free reinforcement learning algorithm is designed to train network parameters to optimize the packing sequence. …”
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  13. 33
    Experiment 5: Clustering networks that are only partially clusterable.

    Experiment 5: Clustering networks that are only partially clusterable. by Yasamin Tabatabaee (18095491)

    Published 2025
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  14. 34
    AMI, ARI and NMI accuracy on two real-world networks.

    AMI, ARI and NMI accuracy on two real-world networks. by Yasamin Tabatabaee (18095491)

    Published 2025
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  15. 35
    A comparison among different optimizations and classifiers.

    A comparison among different optimizations and classifiers. by Nour Eldeen Mahmoud Khalifa (19259450)

    Published 2024
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  16. 36
    Some recent state-of-the-art approaches for cluster optimization.

    Some recent state-of-the-art approaches for cluster optimization. by Sandeep Yerrathi (17775761)

    Published 2024
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  17. 37
    The topologies of edging solution with <i>k</i> = 10 on Zachary’s Karate Club network.

    The topologies of edging solution with <i>k</i> = 10 on Zachary’s Karate Club network. by Ruochen Zhang (3434996)

    Published 2024
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  18. 38
    Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses

    Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses by Meichen Liu (8168148)

    Published 2025
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  19. 39
    ALARM networks with different partial orderings.

    ALARM networks with different partial orderings. by Nand Sharma (21519845)

    Published 2025
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  20. 40
    The neural network architecture.

    The neural network architecture. by Jie Fang (306330)

    Published 2023
    “…A model-free reinforcement learning algorithm is designed to train network parameters to optimize the packing sequence. …”
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