Showing 1 - 20 results of 6,283 for search '(((( learning _ decrease ) OR ( a largest decrease ))) OR ( i values decrease ))', query time: 0.64s Refine Results
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    Table of values for <i>p.</i> by Long Di (9977453)

    Published 2025
    “…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …”
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    Yearly crude rates normalized by their 1999 value. by Tony Wong (779773)

    Published 2025
    “…<p>Values below 1 indicate crude rate decreases relative to their 1999 value, those above 1 indicate increases. …”
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    Moran’s I value, Z value and P value of CCD-GFEE. by Dalai Ma (17847101)

    Published 2025
    “…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”
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    Distribution of <i>L</i>(<i>p</i>) with an absolute error when a single observation is randomly sampled at each time point, with the smallest observation (blue) and the largest obs... by Hyeontae Jo (20469463)

    Published 2024
    “…As the <i>L</i>(<i>p</i>) distribution associated with the larger observation tends to have higher overall values, the likelihood of it being ultimately selected decreases.…”
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    The MAE value of the model under raw data. by Xiangjuan Liu (618000)

    Published 2025
    “…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”
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    Three error values under raw data. by Xiangjuan Liu (618000)

    Published 2025
    “…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”
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