يعرض 1 - 20 نتائج من 7,439 نتيجة بحث عن '(((( learning data decrease ) OR ( _ larger decrease ))) OR ( _ values decrease ))', وقت الاستعلام: 0.39s تنقيح النتائج
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    List of network connections predictive of individual SoF values, together with their β weights, in decreasing order. حسب Yinan Xu (12440894)

    منشور في 2025
    "…<p>List of network connections predictive of individual SoF values, together with their β weights, in decreasing order.…"
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    The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. حسب Gui Araujo (22170819)

    منشور في 2025
    "…Each sample is a simulation of the entire assembly process for a scenario. Parameter values: interaction strengths were drawn from a half-normal distribution of zero mean and a standard deviation of 0.2, and strength for consumers was made no larger than the strength for resources. …"
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    Scheme of g-λ model with larger values λ. حسب Zhanfeng Fan (20390992)

    منشور في 2024
    "…And if the value of λ assumes larger values, the distortion in the shape of the transmitted wave is associated with the plastic deformation in the uncoupled rock mass. …"
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    Biases in larger populations. حسب Sander W. Keemink (21253563)

    منشور في 2025
    "…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. Bias decreases with increasing neurons in the population. …"
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    The MAE value of the model under raw data. حسب Xiangjuan Liu (618000)

    منشور في 2025
    "…Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …"
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    Three error values under raw data. حسب Xiangjuan Liu (618000)

    منشور في 2025
    "…Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …"
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    (A) Network map of the top ten anti-AD core targets and the top 30 KEGG pathways. The color of the pathway nodes changed from pink to light pink as the DC value decreased. (B) 19 core pathways with DC values (ranked by DC>  average value of (4.933)). حسب Shakeel Ahmad Khan (13202394)

    منشور في 2025
    "…The color of the pathway nodes changed from pink to light pink as the DC value decreased. (B) 19 core pathways with DC values (ranked by DC>  average value of (4.933)).…"
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