Showing 1 - 20 results of 36,980 for search '(( a ((((mean decrease) OR (linear decrease))) OR (larger decrease)) ) OR ( a larger increases ))', query time: 1.03s Refine Results
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    Mean squared error of estimates decreases with larger datasets. by Alexander Eugene Zarebski (12078347)

    Published 2022
    “…<p>The mean squared error in the estimates of under the posterior distribution decreases as the size of the dataset increases. …”
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    The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

    Published 2025
    “…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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    Biases in larger populations. by Sander W. Keemink (21253563)

    Published 2025
    “…In the unscaled case, only the density of the neurons is increased (black curve). With amplitude scaling the mean population activity was kept the same by scaling down the response amplitude for larger population (blue curve). …”
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    Scheme of g-λ model with larger values λ. by Zhanfeng Fan (20390992)

    Published 2024
    “…The stress-deformation model of the single uncoupled joint (g-λ model with λ ≥ 1) is employed to depict the nonlinearity of uncoupled joints, with a greater value of the parameter λ signifying a lower degree of non-linearity in the joint model curve. …”
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    Adjusted<sup>a</sup> mean decrease in days elapsed in the cascade of HCC care post-intervention. by Yapei Zhang (6416108)

    Published 2022
    “…<p>Adjusted<a href="/article/info:doi/10.1371/journal.pdig.0000080#t004fn001" target="_blank"><sup>a</sup></a> mean decrease in days elapsed in the cascade of HCC care post-intervention.…”
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    Normalized synergy increased with greater recurrence and decreased with greater feedback. by Samantha P. Sherrill (11114128)

    Published 2021
    “…(C) Curves representing columns shown in A, plotted with errorbars computed across networks, show that synergy decreased as the number of feedback edges increased. …”
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    A Locally Linear Dynamic Strategy for Manifold Learning. by Weifan Wang (4669081)

    Published 2025
    “…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …”
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