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Showing 41 - 60 results of 1,314 for search '(( algorithm basis function ) OR ((( algorithm python function ) OR ( algorithm f1 function ))))', query time: 0.69s Refine Results
  1. 41
    Types of training algorithms.

    Types of training algorithms. by Caixia Yan (6647072)

    Published 2025
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  2. 42
    Convergence curves of various algorithms under test functions.

    Convergence curves of various algorithms under test functions. by Jiayuan Wang (3765376)

    Published 2025
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  3. 43
    Convergence curves of various algorithms under test functions.

    Convergence curves of various algorithms under test functions. by Jiayuan Wang (3765376)

    Published 2025
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  4. 44
    The convergence curve of each optimization algorithm under the test function.

    The convergence curve of each optimization algorithm under the test function. by Hao Yang (328526)

    Published 2025
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  5. 45
    A) Ranking of models trained on different feature sets across all tested algorithms, sorted by their F1-score.

    A) Ranking of models trained on different feature sets across all tested algorithms, sorted by their F1-score. by Jose Cleydson F. Silva (8685594)

    Published 2025
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  6. 46
    Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional

    Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional by Ryan Stocks (16867476)

    Published 2025
    “…In this work, we present a comparative study of four GPU-accelerated algorithms for evaluating the KS-DFT exchange–correlation (XC) potential with an atom-centered Gaussian basis. …”
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  7. 47
    Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy)

    Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy) by Santhosh Kumar Rajamani (13023678)

    Published 2022
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  8. 48
    Model training accuracy for Random Forest (RF), Multilayer Perceptron (MLP), and Radial Basis Function (RBF) algorithms by adding variables based on the correlation results.

    Model training accuracy for Random Forest (RF), Multilayer Perceptron (MLP), and Radial Basis Function (RBF) algorithms by adding variables based on the correlation results. by Mohsen Yoosefzadeh-Najafabadi (6917399)

    Published 2021
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  9. 49
    CPU runtime of each algorithm: (a) Running Time Comparison of Different Algorithms on F1-F10 and (b) Running Time Comparison of Different Algorithms on F11-F20.

    CPU runtime of each algorithm: (a) Running Time Comparison of Different Algorithms on F1-F10 and (b) Running Time Comparison of Different Algorithms on F11-F20. by Ruyi Dong (9038174)

    Published 2025
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  10. 50
    Testing performance comparison for different algorithms.

    Testing performance comparison for different algorithms. by Roberto Bárcenas (13924220)

    Published 2022
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  11. 51
    Training performance comparison for different algorithms.

    Training performance comparison for different algorithms. by Roberto Bárcenas (13924220)

    Published 2022
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  12. 52
    The effect of different loss functions on our model.

    The effect of different loss functions on our model. by Yiyang Shi (16929122)

    Published 2024
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  13. 53
    Verification of the in-line PS function.

    Verification of the in-line PS function. by Raul Castañeda (13932971)

    Published 2022
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  14. 54
    Available functions in the utility package.

    Available functions in the utility package. by Raul Castañeda (13932971)

    Published 2022
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  15. 55
    The SVM objective function minimization against iterations.

    The SVM objective function minimization against iterations. by Ali Ahmed (2567584)

    Published 2020
    Subjects:
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  16. 56
    The F1 scores for different word embedding dimensions.

    The F1 scores for different word embedding dimensions. by Peihan Wen (6324315)

    Published 2022
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  17. 57
    Convergence graphs of CEC2014 F1-F15 benchmark functions with 50 variable.

    Convergence graphs of CEC2014 F1-F15 benchmark functions with 50 variable. by Yang Cao (53545)

    Published 2024
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  18. 58
    Available functions in the phase-shifting package.

    Available functions in the phase-shifting package. by Raul Castañeda (13932971)

    Published 2022
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  19. 59
    Available functions in the numerical propagation package.

    Available functions in the numerical propagation package. by Raul Castañeda (13932971)

    Published 2022
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  20. 60
    Available functions in the phase reconstruction package.

    Available functions in the phase reconstruction package. by Raul Castañeda (13932971)

    Published 2022
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