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Showing 1 - 20 results of 76 for search '(( binary hastv model optimization algorithm ) OR ( binary data processing simulation algorithms ))', query time: 1.10s Refine Results
  1. 1
    The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms.

    The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. by Olaide N. Oyelade (14047002)

    Published 2023
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  2. 2
    <i>hi</i>PRS algorithm process flow.

    <i>hi</i>PRS algorithm process flow. by Michela C. Massi (14599915)

    Published 2023
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  3. 3
    Flowchart of the general algorithm for one trial.

    Flowchart of the general algorithm for one trial. by Junying Wang (509009)

    Published 2025
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  4. 4
    Hierarchical clustering to infer a binary tree with <i>K</i> = 4 sampled populations.

    Hierarchical clustering to infer a binary tree with <i>K</i> = 4 sampled populations. by Tristan Mary-Huard (3864)

    Published 2023
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  5. 5
    The performance of our proposed method in four scenarios (I to IV) uses simulated data that mimics real-world data distribution with the complete version.

    The performance of our proposed method in four scenarios (I to IV) uses simulated data that mimics real-world data distribution with the complete version. by Yi-Wen Hsiao (13767916)

    Published 2022
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  6. 6
    Performance of our proposed method in four scenarios (I to IV) using naïve simulated data with the complete version.

    Performance of our proposed method in four scenarios (I to IV) using naïve simulated data with the complete version. by Yi-Wen Hsiao (13767916)

    Published 2022
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  7. 7
    Simulation parameters.

    Simulation parameters. by Hend Bayoumi (22693738)

    Published 2025
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  8. 8
    RMSE on the test data when fitting (logistic) quadratic models to binary data across increasing measurement error values .

    RMSE on the test data when fitting (logistic) quadratic models to binary data across increasing measurement error values . by Jakub Stoklosa (3315042)

    Published 2023
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  9. 9
    An optimization process of the proposed hybrid BEOSA (HBEOSA) combining both SA and FFA methods into BEOSA.

    An optimization process of the proposed hybrid BEOSA (HBEOSA) combining both SA and FFA methods into BEOSA. by Olaide N. Oyelade (14047002)

    Published 2023
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  10. 10
    Joint Detection of Change Points in Multichannel Single-Molecule Measurements

    Joint Detection of Change Points in Multichannel Single-Molecule Measurements by Hugh Wilson (11797444)

    Published 2021
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  11. 11
    Bayesian Inference on High-Dimensional Multivariate Binary Responses

    Bayesian Inference on High-Dimensional Multivariate Binary Responses by Antik Chakraborty (4588912)

    Published 2023
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  12. 12
    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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  13. 13
    Application of ABC SMC to the fitting of the binary flip with cusp model.

    Application of ABC SMC to the fitting of the binary flip with cusp model. by Elena Camacho-Aguilar (10906327)

    Published 2021
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  14. 14
    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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  15. 15
    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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  16. 16
    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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  17. 17
    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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  18. 18
    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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  19. 19
    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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  20. 20
    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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