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Showing 61 - 80 results of 15,898 for search '(( algorithm python function ) OR ( algorithm ((1 function) OR (model function)) ))', query time: 1.71s Refine Results
  1. 61
    The comparison of serial and parallel runtime (s) for the four sub-functions.

    The comparison of serial and parallel runtime (s) for the four sub-functions. by Yongfei Wang (608480)

    Published 2024
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  2. 62
    “trend+var” algorithm.

    “trend+var” algorithm. by Roman Olson (6577004)

    Published 2019
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  3. 63
    Table_1_Clinical Functional Seizure Score (CFSS): a simple algorithm for clinicians to suspect functional seizures.DOCX

    Table_1_Clinical Functional Seizure Score (CFSS): a simple algorithm for clinicians to suspect functional seizures.DOCX by Mohammad Dashtkoohi (15417886)

    Published 2023
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  4. 64
    Effect of <i>|Δd</i><sub><i>n</i></sub><i>|</i> perturbation on 3D modeling.

    Effect of <i>|Δd</i><sub><i>n</i></sub><i>|</i> perturbation on 3D modeling. by Giacomo Janson (8138517)

    Published 2019
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  5. 65
    Posterior for parameter <i>θ</i> of the uniform toy model for different weights in the ABC distance function.

    Posterior for parameter <i>θ</i> of the uniform toy model for different weights in the ABC distance function. by Jonathan U. Harrison (5447603)

    Published 2020
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  6. 66
    Posterior for parameters <i>θ</i> of the bimodal toy model for different weights in the ABC distance function.

    Posterior for parameters <i>θ</i> of the bimodal toy model for different weights in the ABC distance function. by Jonathan U. Harrison (5447603)

    Published 2020
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  7. 67
    Posteriors for parameter <i>θ</i> in the simple diffusion model for different weights in the ABC distance function.

    Posteriors for parameter <i>θ</i> in the simple diffusion model for different weights in the ABC distance function. by Jonathan U. Harrison (5447603)

    Published 2020
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  8. 68
    Results of test functions (F1-F11) with 50 dimensions.

    Results of test functions (F1-F11) with 50 dimensions. by Dingming Yang (8505990)

    Published 2022
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  9. 69
    Results of test functions (F1-F11) with 30 dimensions.

    Results of test functions (F1-F11) with 30 dimensions. by Dingming Yang (8505990)

    Published 2022
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  10. 70
    Results of test functions (F1-F11) with 100 dimensions.

    Results of test functions (F1-F11) with 100 dimensions. by Dingming Yang (8505990)

    Published 2022
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  11. 71
    Unimodal benchmark functions (F1 to F7).

    Unimodal benchmark functions (F1 to F7). by El-Sayed M. El-kenawy (14581088)

    Published 2023
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  12. 72
    Code snippets to add user-specific custom functionality in PyNoetic.

    Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

    Published 2025
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  13. 73
    Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms.

    Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms. by Yao Peng (1928524)

    Published 2023
    “…<p>Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms.…”
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  14. 74
    Parameters setting of function mining experiment.

    Parameters setting of function mining experiment. by Jin Ding (11522)

    Published 2023
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  15. 75
    Changes in the loss function value on the validation set.

    Changes in the loss function value on the validation set. by Kyung Won Kwon (18150416)

    Published 2024
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  16. 76
    Table_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.DOCX

    Table_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.DOCX by Shakiru A. Alaka (9302864)

    Published 2020
    “…We evaluate the predictive accuracy of machine-learning algorithms for predicting functional outcomes in acute ischemic stroke patients after endovascular treatment.…”
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  17. 77
    Mean convergence graphs of the evolution in the performance function and its terms through generations in thirty executions of each algorithm.

    Mean convergence graphs of the evolution in the performance function and its terms through generations in thirty executions of each algorithm. by Roberto Castro-Medina (21484990)

    Published 2025
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  18. 78
    Matlab code of a function used in S2 File.

    Matlab code of a function used in S2 File. by Hiroko Kato Solvang (5718250)

    Published 2024
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  19. 79
    Model optimization flow by MFO algorithm.

    Model optimization flow by MFO algorithm. by Ruoqi Wang (14958062)

    Published 2023
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  20. 80
    Forward and inverse problems and misfit function.

    Forward and inverse problems and misfit function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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