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Showing 1 - 20 results of 373 for search '(( binary data models optimization algorithm ) OR ( library based based optimization algorithm ))*', query time: 0.63s Refine Results
  1. 1
    <i>De Novo</i> Drug Design of Targeted Chemical Libraries Based on Artificial Intelligence and Pair-Based Multiobjective Optimization

    <i>De Novo</i> Drug Design of Targeted Chemical Libraries Based on Artificial Intelligence and Pair-Based Multiobjective Optimization by Alberga Domenico (9356272)

    Published 2020
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  2. 2
    Sensitivity values of IRBMO vs. other binary algorithms.

    Sensitivity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  3. 3
    Specificity values of IRBMO vs. other binary algorithms.

    Specificity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  4. 4
    Fitness values of IRBMO vs. other binary algorithms.

    Fitness values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  5. 5
    Number of features selected for IRBMO vs. other binary algorithms.

    Number of features selected for IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  6. 6
    Classification accuracy values of IRBMO vs. other binary algorithms.

    Classification accuracy values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  7. 7
    F-score values of IRBMO vs. other binary algorithms.

    F-score values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  8. 8
    Numerical example for determining the optimal number of clusters in Algorithm 2.

    Numerical example for determining the optimal number of clusters in Algorithm 2. by Yi Wei Tye (22208735)

    Published 2025
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  9. 9
    Face recognition algorithm flow based on the PCA.

    Face recognition algorithm flow based on the PCA. by Na Lin (69470)

    Published 2025
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  10. 10
    Binary contingency table.

    Binary contingency table. by Lu Xiao (314030)

    Published 2024
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  11. 11
    Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment

    Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment by Jianfang Cao (1881379)

    Published 2019
    “…The MapReduce parallel programming model on the Hadoop platform is used to perform an adaptive fusion of hue, local binary pattern (LBP) and scale-invariant feature transform (SIFT) features extracted from images to derive optimal combinations of weights. …”
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  12. 12
    Summary of classification algorithms.

    Summary of classification algorithms. by Stephen R. Piccolo (8367780)

    Published 2022
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  13. 13
    Classification algorithm hyperparameter combinations.

    Classification algorithm hyperparameter combinations. by Stephen R. Piccolo (8367780)

    Published 2022
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  14. 14
    Summary of feature-selection algorithms.

    Summary of feature-selection algorithms. by Stephen R. Piccolo (8367780)

    Published 2022
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  15. 15
    Library of the 55 different classification and regression machine-learning algorithms used by the ensemble predictor SuperLearner (SL.library) in the CBDA 2.0 implementation.

    Library of the 55 different classification and regression machine-learning algorithms used by the ensemble predictor SuperLearner (SL.library) in the CBDA 2.0 implementation. by Simeone Marino (81051)

    Published 2020
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  16. 16
    Feature-selection algorithm hyperparameter combinations.

    Feature-selection algorithm hyperparameter combinations. by Stephen R. Piccolo (8367780)

    Published 2022
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  17. 17
    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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  18. 18
    Top-performing model configuration and performance by algorithm type.

    Top-performing model configuration and performance by algorithm type. by Uğur Ejder (22683228)

    Published 2025
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  19. 19
    Comparison of ranks for classification algorithms across performance metrics.

    Comparison of ranks for classification algorithms across performance metrics. by Stephen R. Piccolo (8367780)

    Published 2022
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  20. 20
    Tradeoff between execution time and predictive performance for classification algorithms.

    Tradeoff between execution time and predictive performance for classification algorithms. by Stephen R. Piccolo (8367780)

    Published 2022
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