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Showing 21 - 40 results of 11,390 for search '(((( element method algorithm ) OR ( complement based algorithm ))) OR ( models using algorithm ))', query time: 0.27s Refine Results
  1. 21
    Algorithm used for the determination of the model parametric values.

    Algorithm used for the determination of the model parametric values. by Jonathan Côté (527819)

    Published 2024
    “…<p>Algorithm used for the determination of the model parametric values.…”
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  2. 22
    Optimization plot of ML models using GA algorithm.

    Optimization plot of ML models using GA algorithm. by Ali Bahrami (20700339)

    Published 2025
    “…<p>Optimization plot of ML models using GA algorithm.</p>…”
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  3. 23
    Optimization plot of ML models using SA algorithm.

    Optimization plot of ML models using SA algorithm. by Ali Bahrami (20700339)

    Published 2025
    “…<p>Optimization plot of ML models using SA algorithm.</p>…”
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  4. 24
    Simulation model and experimental setup.

    Simulation model and experimental setup. by Maryam Arianpouya (12299222)

    Published 2024
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  5. 25
    Computation time as a function of the sample size on the chain graph dataset.

    Computation time as a function of the sample size on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  6. 26
    Log-likelihood as a function of the number of selected edges on the chain graph dataset (black dashed line: The true number of edges).

    Log-likelihood as a function of the number of selected edges on the chain graph dataset (black dashed line: The true number of edges). by Tomokaze Shiratori (9635271)

    Published 2024
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  7. 27
    Computation time as a function of the sample size on the random graph dataset.

    Computation time as a function of the sample size on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  8. 28
    F1 score of edges selected through cross-validation on the chain graph dataset.

    F1 score of edges selected through cross-validation on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  9. 29
    Log-likelihood as a function of the number of selected edges on the random graph dataset (black dashed line: The true number of edges).

    Log-likelihood as a function of the number of selected edges on the random graph dataset (black dashed line: The true number of edges). by Tomokaze Shiratori (9635271)

    Published 2024
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  10. 30
    Examples of ground-truth graph structures with (<i>p</i>, <i>n</i><sub>≠0</sub>) = (10, 10).

    Examples of ground-truth graph structures with (<i>p</i>, <i>n</i><sub>≠0</sub>) = (10, 10). by Tomokaze Shiratori (9635271)

    Published 2024
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  11. 31
    Number of edges selected through cross-validation on the chain graph dataset.

    Number of edges selected through cross-validation on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  12. 32
    Number of edges selected through cross-validation on the random graph dataset.

    Number of edges selected through cross-validation on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  13. 33
    Graphs of the regularization terms.

    Graphs of the regularization terms. by Tomokaze Shiratori (9635271)

    Published 2024
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  14. 34
    F1 score of a given number of selected edges on the chain graph dataset.

    F1 score of a given number of selected edges on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  15. 35
    Computation time as a function of the number of variables on the chain graph dataset.

    Computation time as a function of the number of variables on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  16. 36
    Computation time as a function of the number of variables on the random graph dataset.

    Computation time as a function of the number of variables on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  17. 37
    F1 score of a given number of selected edges on the random graph dataset.

    F1 score of a given number of selected edges on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  18. 38
    F1 score of edges selected through cross-validation on the random graph dataset.

    F1 score of edges selected through cross-validation on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  19. 39
    Phenotype frequencies for each mutant and for complementation testing.

    Phenotype frequencies for each mutant and for complementation testing. by McKenna Feltes (11242085)

    Published 2025
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  20. 40
    Scattering parameters (<i>S</i>-Matrix) of the simulation model and the experimental bench setup using the 4-channel PTX coil configuration.

    Scattering parameters (<i>S</i>-Matrix) of the simulation model and the experimental bench setup using the 4-channel PTX coil configuration. by Maryam Arianpouya (12299222)

    Published 2024
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