بدائل البحث:
fitting algorithm » finding algorithm (توسيع البحث), filtering algorithm (توسيع البحث), twisting algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
making algorithm » learning algorithm (توسيع البحث), finding algorithm (توسيع البحث), means algorithm (توسيع البحث)
data fitting » data settings (توسيع البحث), data mining (توسيع البحث)
data making » data backing (توسيع البحث), data mining (توسيع البحث), data tracking (توسيع البحث)
element » elements (توسيع البحث)
fitting algorithm » finding algorithm (توسيع البحث), filtering algorithm (توسيع البحث), twisting algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
making algorithm » learning algorithm (توسيع البحث), finding algorithm (توسيع البحث), means algorithm (توسيع البحث)
data fitting » data settings (توسيع البحث), data mining (توسيع البحث)
data making » data backing (توسيع البحث), data mining (توسيع البحث), data tracking (توسيع البحث)
element » elements (توسيع البحث)
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1
Algorithmic experimental parameter design.
منشور في 2024"…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. The proposed method incorporates interpolation of the coprime array and signal subspace fitting. …"
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2
Spatial spectrum estimation for three algorithms.
منشور في 2024"…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. The proposed method incorporates interpolation of the coprime array and signal subspace fitting. …"
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5
Proportion of simulated data with improved likelihood from using multiple restarts (Algorithm 1).
منشور في 2025الموضوعات: "…routinely applicable algorithm…"
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8
Residual plots for models fit to the Lake Michigan-Huron data.
منشور في 2025الموضوعات: "…routinely applicable algorithm…"
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9
Decision-making model for location selection of tourism and leisure facilities.
منشور في 2025الموضوعات: -
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Parameter values of ARMA(<i>p, q</i>) model fit to Lake Michigan-Huron depth data.
منشور في 2025الموضوعات: "…routinely applicable algorithm…"
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13
SSA fitness curve.
منشور في 2025"…<div><p>Population prediction could provide effective data support for social and economic planning and decision-making, especially for the sub-national population forecasting accurately. …"
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14
Fitting results.
منشور في 2025"…By comparing the fitting performance of several methods, including ZOA-LSSVM, Genetic Algorithm (GA)-LSSVM, LSSVM, and Least Squares Regression (LSR), the effectiveness of ZOA-LSSVM is validated. …"
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15
AIC values for an ARMA(p, q) model fit to Lake Michigan-Huron depths.
منشور في 2025الموضوعات: "…routinely applicable algorithm…"
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16
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18
Failure Samples and Fitting Results.
منشور في 2025"…By comparing the fitting performance of several methods, including ZOA-LSSVM, Genetic Algorithm (GA)-LSSVM, LSSVM, and Least Squares Regression (LSR), the effectiveness of ZOA-LSSVM is validated. …"
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19
Evidence for an AR(1) model for the Lake Michigan-Huron data.
منشور في 2025الموضوعات: "…routinely applicable algorithm…"
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20
Inverted AR and MA polynomial roots to the fitted AR(1) and ARMA(2, 1) models to the Lake Michigan-Huron data using a single parameter initialization.
منشور في 2025الموضوعات: "…routinely applicable algorithm…"