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Showing 121 - 140 results of 11,686 for search '(((( develop based algorithm ) OR ( element data algorithm ))) OR ( data modelling algorithm ))', query time: 0.45s Refine Results
  1. 121
    Solution results of different algorithms.

    Solution results of different algorithms. by Meilin Zhu (688698)

    Published 2025
    “…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …”
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  2. 122
    Decision model based on the NSO.

    Decision model based on the NSO. by Hui Zhao (7395)

    Published 2025
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  3. 123
    Prediction performance (BSS) for simulated datasets with simulated missingness: low correlation (0.1) and high AUROC (0.9).

    Prediction performance (BSS) for simulated datasets with simulated missingness: low correlation (0.1) and high AUROC (0.9). by Elena Albu (15181070)

    Published 2025
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  4. 124
    Distribution of original (non-missing) and imputed values for continuous variables.

    Distribution of original (non-missing) and imputed values for continuous variables. by Elena Albu (15181070)

    Published 2025
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  5. 125
    Prediction performance (BSS) for simulated datasets with simulated missingness: high correlation (0.7) and high AUROC (0.9).

    Prediction performance (BSS) for simulated datasets with simulated missingness: high correlation (0.7) and high AUROC (0.9). by Elena Albu (15181070)

    Published 2025
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  6. 126
    Imputed variable and predictor matrix.

    Imputed variable and predictor matrix. by Elena Albu (15181070)

    Published 2025
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  7. 127
    NMSE errors (deviations from true values) on test sets for simulated datasets with simulated missingness: high correlation (0.7) and high AUROC (0.9).

    NMSE errors (deviations from true values) on test sets for simulated datasets with simulated missingness: high correlation (0.7) and high AUROC (0.9). by Elena Albu (15181070)

    Published 2025
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  8. 128
    Amputation mechanisms.

    Amputation mechanisms. by Elena Albu (15181070)

    Published 2025
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  9. 129
    Median object size of the imputation object in MB (the Q1 - Q3 range is presented in the shiny app).

    Median object size of the imputation object in MB (the Q1 - Q3 range is presented in the shiny app). by Elena Albu (15181070)

    Published 2025
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  10. 130
    Prediction performance for datasets with missing values and categorical outcome (BSS).

    Prediction performance for datasets with missing values and categorical outcome (BSS). by Elena Albu (15181070)

    Published 2025
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  11. 131
    NMSE errors (deviations from true values) on test sets for simulated datasets with simulated missingness: low correlation (0.1) and low AUROC (0.75).

    NMSE errors (deviations from true values) on test sets for simulated datasets with simulated missingness: low correlation (0.1) and low AUROC (0.75). by Elena Albu (15181070)

    Published 2025
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  12. 132
    Prediction performance (BSS) for simulated datasets with simulated missingness: low correlation (0.1) and low AUROC (0.75).

    Prediction performance (BSS) for simulated datasets with simulated missingness: low correlation (0.1) and low AUROC (0.75). by Elena Albu (15181070)

    Published 2025
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  13. 133
    NMSE errors (deviations from true values) on test sets for simulated datasets with simulated missingness: high correlation (0.7) and low AUROC (0.75).

    NMSE errors (deviations from true values) on test sets for simulated datasets with simulated missingness: high correlation (0.7) and low AUROC (0.75). by Elena Albu (15181070)

    Published 2025
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  14. 134
    Real datasets description.

    Real datasets description. by Elena Albu (15181070)

    Published 2025
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  15. 135
    Mean number of completely missing observations over all train/test splits for datasets with simulated missingness (amputation).

    Mean number of completely missing observations over all train/test splits for datasets with simulated missingness (amputation). by Elena Albu (15181070)

    Published 2025
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  16. 136
    Details on imputation methods in R or python.

    Details on imputation methods in R or python. by Elena Albu (15181070)

    Published 2025
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  17. 137
    Prediction performance (BSS) for simulated datasets with simulated missingness: high correlation (0.7) and low AUROC (0.75).

    Prediction performance (BSS) for simulated datasets with simulated missingness: high correlation (0.7) and low AUROC (0.75). by Elena Albu (15181070)

    Published 2025
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  18. 138
    Proportion of original (non-missing) and imputed values for categorical variables.

    Proportion of original (non-missing) and imputed values for categorical variables. by Elena Albu (15181070)

    Published 2025
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  19. 139
    Comparison procedure steps.

    Comparison procedure steps. by Elena Albu (15181070)

    Published 2025
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  20. 140
    Errors (deviations from true values); median and IQR bars.

    Errors (deviations from true values); median and IQR bars. by Elena Albu (15181070)

    Published 2025
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