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Showing 121 - 140 results of 897 for search '(((( elements method algorithm ) OR ( alignment data algorithm ))) OR ( neural coding algorithm ))', query time: 0.48s Refine Results
  1. 121
    The primeval multi-channel map of the TEM method.

    The primeval multi-channel map of the TEM method. by Zhengyu Xu (8550660)

    Published 2025
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  2. 122
    The table of inversion result of AQ type geoelectric model with 10% noise.

    The table of inversion result of AQ type geoelectric model with 10% noise. by Zhengyu Xu (8550660)

    Published 2025
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  3. 123
    The inversion results and curve of the objective function of the G-type geoelectric model.

    The inversion results and curve of the objective function of the G-type geoelectric model. by Zhengyu Xu (8550660)

    Published 2025
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  4. 124
    The inversion results and curve of the objective function of the AQ-type geoelectric model.

    The inversion results and curve of the objective function of the AQ-type geoelectric model. by Zhengyu Xu (8550660)

    Published 2025
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  5. 125
    The image of the Aekley function.

    The image of the Aekley function. by Zhengyu Xu (8550660)

    Published 2025
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  6. 126
    The inversion results and curve of the objective function of the H-type geoelectric model.

    The inversion results and curve of the objective function of the H-type geoelectric model. by Zhengyu Xu (8550660)

    Published 2025
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  7. 127
    The table of inversion results of AQ type geoelectric model with 5% noise.

    The table of inversion results of AQ type geoelectric model with 5% noise. by Zhengyu Xu (8550660)

    Published 2025
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  8. 128
    Overview of Algorithm 2.

    Overview of Algorithm 2. by Hao Zhang (15339)

    Published 2025
    “…However, its performance may vary when applied to disordered log data. This highlights the necessity of carefully selecting detection methods that align with the specific characteristics of different log data types.…”
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  9. 129
    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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  10. 130
    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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  11. 131
    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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  12. 132
    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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  13. 133
    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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  14. 134
    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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  15. 135
    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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  16. 136
    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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  17. 137
    Graphs of the regularization terms.

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

    Published 2024
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  18. 138
    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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  19. 139
    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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  20. 140
    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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