يعرض 1 - 20 نتائج من 15,806 نتيجة بحث عن '(((( algorithm fc function ) OR ( algorithm a function ))) OR ( algorithm within function ))', وقت الاستعلام: 0.72s تنقيح النتائج
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    Route for bays29 output by ABSQL algorithm. حسب Jin Zhang (53297)

    منشور في 2023
    "…DSRABSQL builds upon the Q-learning (QL) algorithm. Considering its problems of slow convergence and low accuracy, four strategies within the QL framework are designed first: the weighting function-based reward matrix, the power function-based initial Q-table, a self-adaptive <i>ε-beam</i> search strategy, and a new Q-value update formula. …"
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    Algorithmic assessment reveals functional implications of GABRD gene variants linked to idiopathic generalized epilepsy حسب Ayla Arslan (17943365)

    منشور في 2024
    "…</p> <p>The study employs a combination of in silico algorithms to analyze 82 variants of unknown clinical significance of GABRD gene sourced from the ClinVar database. …"
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    The SSIM for the different algorithms. حسب Bingbing Li (461702)

    منشور في 2024
    "…Unlike traditional threshold functions, the improved threshold function is a continuous function that can avoid the pseudo Gibbs effect after image denoising and improve image quality. …"
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    Detailed information of benchmark functions. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
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    Sensitivity analysis of the TV-BayesOpt algorithm performance at tracking a periodic temporal drift when the period of the drift is offset from the covariance function period anticipated by the TV-BayesOpt algorithm. حسب John E. Fleming (8533956)

    منشور في 2023
    "…<p>The performance of a scheduler (green line), the TV-BayesOpt with a periodic temporal covariance function (purple line) and the TV-BayesOpt with a periodic and smooth forgetting covariance algorithm were estimated by calculating the AUC value for the associated cumulative regret plot for each implementation at different offset in the true temporal period.…"
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    Comparison of different algorithms. حسب Dawei Wang (471687)

    منشور في 2025
    "…An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …"
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    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. حسب Yuanchen Zhao (12905580)

    منشور في 2024
    "…<p>(A), (B) Algorithm performance, evaluated over 50 simulated datasets generated as described in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012590#pcbi.1012590.g001" target="_blank">Fig 1</a> with <i>N</i> = 3 true groups, 900 samples and 10% simulated measurement noise. …"