يعرض 1 - 20 نتائج من 23 نتيجة بحث عن '(( binary first structure optimization algorithm ) OR ( binary risk based optimization algorithm ))', وقت الاستعلام: 1.04s تنقيح النتائج
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    SHAP bar plot. حسب Meng Cao (105914)

    منشور في 2025
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    ROC curves for the test set of four models. حسب Meng Cao (105914)

    منشور في 2025
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    Display of the web prediction interface. حسب Meng Cao (105914)

    منشور في 2025
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    Sample screening flowchart. حسب Meng Cao (105914)

    منشور في 2025
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    Descriptive statistics for variables. حسب Meng Cao (105914)

    منشور في 2025
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    SHAP summary plot. حسب Meng Cao (105914)

    منشور في 2025
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    Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data حسب Fei Xue (24567)

    منشور في 2021
    "…In this article, we develop a novel angle-based approach to search the optimal DTR under a multicategory treatment framework for survival data. …"
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    Pressure-Stabilized Zinc Trifluoride حسب Shiyin Ma (5793191)

    منشور في 2020
    "…By combining the particle swarm optimization algorithm with first-principles calculation, the high-pressure phase diagram of Zn–F binary compounds was established. …"
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    Supplementary Material for: Penalized Logistic Regression Analysis for Genetic Association Studies of Binary Phenotypes حسب Yu Y. (3096192)

    منشور في 2022
    "…We consider two approximate approaches to maximizing the marginal likelihood: (i) a Monte Carlo EM algorithm (MCEM) and (ii) a Laplace approximation (LA) to each integral, followed by derivative-free optimization of the approximation. …"
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    Table_1_An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.pdf حسب Muhammad Awais (263096)

    منشور في 2024
    "…Next, a hybrid feature extraction approach is presented leveraging transfer learning from selected deep neural network models, InceptionV3 and DenseNet201, to extract comprehensive feature sets. To optimize feature selection, a customized binary Grey Wolf Algorithm is utilized, achieving an impressive 80% reduction in feature size while preserving key discriminative information. …"