يعرض 141 - 160 نتائج من 9,924 نتيجة بحث عن '(((( algorithm python function ) OR ( algorithm both function ))) OR ( algorithm from function ))*', وقت الاستعلام: 0.96s تنقيح النتائج
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    The Precision-Recall curve of both the models. حسب Aastha Vatsyayan (9981916)

    منشور في 2024
    "…</p><p>Results</p><p>Using an independent validation dataset of ACMG & AMP classified variants, as well as a patient set of functionally validated variants, we showed how both algorithms perform and can be used to classify large numbers of variants in clinical as well as research settings.…"
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    Flowchart of proposed fitness function algorithm. حسب Ferhat Yuna (21519851)

    منشور في 2025
    "…The mathematical model was transformed into a fitness function and a solution was provided with the Tabu Search Algorithm and Simulated Annealing. …"
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    Tightening Blocks in Complementary Analyses of Observational Studies: Optimization Algorithm and Examples حسب Paul R. Rosenbaum (8735217)

    منشور في 2024
    "…An R package tightenBlock implements the method, contains the data, and in that package the help-file for the function tighten reproduces the example.</p>…"
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    List of Abbreviations حسب Gursimran Singh (575288)

    منشور في 2025
    الموضوعات:
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    The content of the speech. حسب Li Jiashen (20552690)

    منشور في 2025
    "…The algorithm enhances the traditional Stockwell transform (S-transform) by incorporating a low-pass filtering function and introducing two adjustable parameters. …"
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    Time domain diagram of speech signal. حسب Li Jiashen (20552690)

    منشور في 2025
    "…The algorithm enhances the traditional Stockwell transform (S-transform) by incorporating a low-pass filtering function and introducing two adjustable parameters. …"
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    Low-Rank Covariance Function Estimation for Multidimensional Functional Data حسب Jiayi Wang (294312)

    منشور في 2020
    "…Despite the lack of a closed form, under mild assumptions, the proposed estimator can achieve unified theoretical results that hold for any relative magnitudes between the sample size and the number of observations per sample field, and the rate of convergence reveals the phase-transition phenomenon from sparse to dense functional data. Based on a new representer theorem, an ADMM algorithm is developed for the trace-norm regularization. …"
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