يعرض 1 - 20 نتائج من 49 نتيجة بحث عن '(( binary based case optimization algorithm ) OR ( binary values from optimization algorithm ))*', وقت الاستعلام: 0.57s تنقيح النتائج
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    MSE for ILSTM algorithm in binary classification. حسب Asmaa Ahmed Awad (16726315)

    منشور في 2023
    "…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …"
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    Analysis and design of algorithms for the manufacturing process of integrated circuits حسب Sonia Fleytas (16856403)

    منشور في 2023
    "…Additionally, the results obtained from our new ILP model indicate that our genetic algorithm results are very close to the optimal values.…"
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    Datasets and their properties. حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    "…To address this, we proposed a novel hybrid binary optimization capable of effectively selecting features from increasingly high-dimensional datasets. …"
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    Parameter settings. حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    "…To address this, we proposed a novel hybrid binary optimization capable of effectively selecting features from increasingly high-dimensional datasets. …"
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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
    "…Introduction: Increasingly, logistic regression methods for genetic association studies of binary phenotypes must be able to accommodate data sparsity, which arises from unbalanced case-control ratios and/or rare genetic variants. …"
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    Fig 1 - حسب Jakub Stoklosa (3315042)

    منشور في 2023
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    Summary of LITNET-2020 dataset. حسب Asmaa Ahmed Awad (16726315)

    منشور في 2023
    "…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …"