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Showing 1 - 20 results of 4,516 for search '(( algorithm machine function ) OR ( algorithm pre functions ))', query time: 0.98s Refine Results
  1. 1
    Explained variance ration of the PCA algorithm.

    Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

    Published 2025
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  2. 2
    Feature selection algorithm.

    Feature selection algorithm. by Mahmoud Zeydabadinezhad (12289570)

    Published 2023
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  3. 3
    Algorithm process of BPNN.

    Algorithm process of BPNN. by Xiaoxiang Cao (12644851)

    Published 2023
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  4. 4
    Features selected by optimization algorithms.

    Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

    Published 2024
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  5. 5
    Sets of best performing parameters obtained after gridsearching through different values for each classification algorithm.

    Sets of best performing parameters obtained after gridsearching through different values for each classification algorithm. by Adhiraj Nath (17118269)

    Published 2023
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  6. 6
    Mathematical expressions, weight functions, domains, and orthogonality conditions of various orthogonal polynomials.

    Mathematical expressions, weight functions, domains, and orthogonality conditions of various orthogonal polynomials. by Abeer Aljohani (18497914)

    Published 2025
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  7. 7
    Accuracy of the Random forest algorithm for different values of test samples and different choice of random states.

    Accuracy of the Random forest algorithm for different values of test samples and different choice of random states. by Abeer Aljohani (18497914)

    Published 2025
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  8. 8
    Accuracy of the Random forest algorithm for different values of test samples and different choice window indexes.

    Accuracy of the Random forest algorithm for different values of test samples and different choice window indexes. by Abeer Aljohani (18497914)

    Published 2025
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  9. 9
    Hybrid feature selection algorithm of CSCO-ROA.

    Hybrid feature selection algorithm of CSCO-ROA. by Afnan M. Alhassan (18349378)

    Published 2024
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  10. 10
    Parametric study of accuracy of the Random forest algorithm for different proportions of test samples and different choice of random states.

    Parametric study of accuracy of the Random forest algorithm for different proportions of test samples and different choice of random states. by Abeer Aljohani (18497914)

    Published 2025
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  11. 11
    Accuracy of the support vector machines for different proportion of test samples.

    Accuracy of the support vector machines for different proportion of test samples. by Abeer Aljohani (18497914)

    Published 2025
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  12. 12
    Data pre-processing and identification of DEGs.

    Data pre-processing and identification of DEGs. by Ziyang Liu (242055)

    Published 2025
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  13. 13
    Graphical illustration of a spectral approach for training support vector machine.

    Graphical illustration of a spectral approach for training support vector machine. by Abeer Aljohani (18497914)

    Published 2025
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  14. 14
    ROC analysis of the Machine Learning Algorithm.

    ROC analysis of the Machine Learning Algorithm. by Stephan Ellmann (314565)

    Published 2020
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  15. 15
    WGCNA and machine learning algorithms.

    WGCNA and machine learning algorithms. by Shushu Wang (6870191)

    Published 2024
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  16. 16
    Accuracy of the support vector machines for different proportion of test samples and different length of nodes used for training.

    Accuracy of the support vector machines for different proportion of test samples and different length of nodes used for training. by Abeer Aljohani (18497914)

    Published 2025
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  17. 17
    Variations of loss functions versus epoch number.

    Variations of loss functions versus epoch number. by Xueliang Guo (4797057)

    Published 2025
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  18. 18
    Prediction performance of different optimization algorithms.

    Prediction performance of different optimization algorithms. by Ali-Kemal Aydin (10968731)

    Published 2021
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  19. 19
    Rule-in and rule-out criteria provided by the machine learning algorithm.

    Rule-in and rule-out criteria provided by the machine learning algorithm. by Stephan Ellmann (314565)

    Published 2020
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  20. 20
    Comparison of deconvolution and optimization algorithms on a batch of data.

    Comparison of deconvolution and optimization algorithms on a batch of data. by Ali-Kemal Aydin (10968731)

    Published 2021
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