يعرض 1 - 20 نتائج من 7,309 نتيجة بحث عن '(( recent data algorithm ) OR ((( predicted using algorithm ) OR ( neural coding algorithm ))))*', وقت الاستعلام: 0.61s تنقيح النتائج
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    ML algorithms used in this study. حسب Toheeb Salahudeen (21368040)

    منشور في 2025
    "…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …"
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    Diabetes prediction using optimized machine learning algorithms with grid search and Bayesian optimization. حسب Muhammad Rizwan Khurshid (20613973)

    منشور في 2025
    "…<p>Diabetes prediction using optimized machine learning algorithms with grid search and Bayesian optimization.…"
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    Flow diagram of the MAO algorithm. حسب Mohamed Irhuma (20818274)

    منشور في 2025
    الموضوعات:
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    Matlab code of a function used in S2 File. حسب Hiroko Kato Solvang (5718250)

    منشور في 2024
    "…The algorithm obtains one- or more-years-ahead prediction values using all past information from the data. …"
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    Yearly data of AMO. حسب Hiroko Kato Solvang (5718250)

    منشور في 2024
    "…The algorithm obtains one- or more-years-ahead prediction values using all past information from the data. …"
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    The estimated three-years prediction values and the three most recent observations for data on variables related to climate, plankton and pelagic fish in the Norwegian Sea ecosyste... حسب Hiroko Kato Solvang (5718250)

    منشور في 2024
    "…<p>The solid grey lines indicate the observations used for making the forecast values and the black points indicate the observations that were plotted for comparison with the prediction values (dotted blue line). …"
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    The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

    منشور في 2025
    "…In particular, we examine Autoregressive AR(1) vector autoregressive processes, which are commonly found in time-series applications. Finally, we use the Laplace approximation to determine a lower bound for the out-of-sample prediction error and derive a scalable expression for the marginal variance of each prediction. …"
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