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Showing 41 - 60 results of 198 for search '(( binary a design optimization algorithm ) OR ( binary data process simulation algorithm ))*', query time: 0.83s Refine Results
  1. 41
    Results of machine learning algorithm.

    Results of machine learning algorithm. by Balraj Preet Kaur (20370832)

    Published 2024
    “…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  2. 42
    Illustration of the workflow combining BayesFlow with missing data encoding.

    Illustration of the workflow combining BayesFlow with missing data encoding. by Zijian Wang (481291)

    Published 2024
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  3. 43
    Performance of the ceRNAR package using synthetic data with randomly selected correlation values from 0.8 to 0.9.

    Performance of the ceRNAR package using synthetic data with randomly selected correlation values from 0.8 to 0.9. by Yi-Wen Hsiao (13767916)

    Published 2022
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  4. 44
    ROC comparison of machine learning algorithm.

    ROC comparison of machine learning algorithm. by Balraj Preet Kaur (20370832)

    Published 2024
    “…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  5. 45
    Performance comparisons between ceRNIA, JAMI, SPONGE, GDCRNATools and ceRNAR packages using synthetic data that mimic the real-world case.

    Performance comparisons between ceRNIA, JAMI, SPONGE, GDCRNATools and ceRNAR packages using synthetic data that mimic the real-world case. by Yi-Wen Hsiao (13767916)

    Published 2022
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  6. 46
    Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with a fixed correlation value (0.9).

    Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with a fixed correlation value (0.9). by Yi-Wen Hsiao (13767916)

    Published 2022
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  7. 47
    Performance of the ceRNAR package in five scenarios under the fast version using synthetic data with a fixed correlation value (0.9).

    Performance of the ceRNAR package in five scenarios under the fast version using synthetic data with a fixed correlation value (0.9). by Yi-Wen Hsiao (13767916)

    Published 2022
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  8. 48
    Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with a fixed correlation value (0.6).

    Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with a fixed correlation value (0.6). by Yi-Wen Hsiao (13767916)

    Published 2022
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  9. 49
    Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with a fixed correlation value (0.3).

    Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with a fixed correlation value (0.3). by Yi-Wen Hsiao (13767916)

    Published 2022
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  10. 50
    A graphic overview illustrates the random walk and permutation test in the <i>ceRNApairFiltering</i> method.

    A graphic overview illustrates the random walk and permutation test in the <i>ceRNApairFiltering</i> method. by Yi-Wen Hsiao (13767916)

    Published 2022
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  11. 51
    A graphic overview illustrates sorting and correlation calculation in the <i>ceRNApairFiltering</i> method.

    A graphic overview illustrates sorting and correlation calculation in the <i>ceRNApairFiltering</i> method. by Yi-Wen Hsiao (13767916)

    Published 2022
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  12. 52
    Run time comparisons between published tools and our package.

    Run time comparisons between published tools and our package. by Yi-Wen Hsiao (13767916)

    Published 2022
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  13. 53
    Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with randomly selected correlation values from 0.3 to 0.9.

    Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with randomly selected correlation values from 0.3 to 0.9. by Yi-Wen Hsiao (13767916)

    Published 2022
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  14. 54
    Performance of the ceRNAR package with different proportions of correlated samples in scenario III under the fast version using synthetic data with a fixed correlation value (0.9).

    Performance of the ceRNAR package with different proportions of correlated samples in scenario III under the fast version using synthetic data with a fixed correlation value (0.9). by Yi-Wen Hsiao (13767916)

    Published 2022
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  15. 55
    The meanings of score S are based on the values of P<sub>obey</sub> and P<sub>violate</sub>.

    The meanings of score S are based on the values of P<sub>obey</sub> and P<sub>violate</sub>. by Yi-Wen Hsiao (13767916)

    Published 2022
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  16. 56
    The graphical outputs of the <i>ceRNAModule</i>, <i>ceRNASurvial</i>, and <i>ceRNALocation</i> functions.

    The graphical outputs of the <i>ceRNAModule</i>, <i>ceRNASurvial</i>, and <i>ceRNALocation</i> functions. by Yi-Wen Hsiao (13767916)

    Published 2022
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  17. 57
    The graphical bubble outputs of the <i>ceRNAFunction</i> function are based on over-representation analysis (ORA).

    The graphical bubble outputs of the <i>ceRNAFunction</i> function are based on over-representation analysis (ORA). by Yi-Wen Hsiao (13767916)

    Published 2022
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  18. 58
    Main tabular output in CSV format.

    Main tabular output in CSV format. by Yi-Wen Hsiao (13767916)

    Published 2022
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  19. 59
    Performance of our proposed method in four scenarios (1 to 4).

    Performance of our proposed method in four scenarios (1 to 4). by Yi-Wen Hsiao (13767916)

    Published 2022
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  20. 60
    Experimental validation of real case study based on miRSponge database.

    Experimental validation of real case study based on miRSponge database. by Yi-Wen Hsiao (13767916)

    Published 2022
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