يعرض 141 - 160 نتائج من 12,609 نتيجة بحث عن '(( algorithms basis function ) OR ((( algorithm python function ) OR ( algorithm 1 function ))))', وقت الاستعلام: 0.72s تنقيح النتائج
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    Flowchart of the algorithm. حسب Xiaowen Zhang (83669)

    منشور في 2023
    الموضوعات:
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    Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments حسب Pulong Ma (6105767)

    منشور في 2021
    "…<p>Observing system uncertainty experiments (OSUEs) have been recently proposed as a cost-effective way to perform probabilistic assessment of retrievals for NASA’s Orbiting Carbon Observatory-2 (OCO-2) mission. One important component in the OCO-2 retrieval algorithm is a full-physics forward model that describes the mathematical relationship between atmospheric variables such as carbon dioxide and radiances measured by the remote sensing instrument. …"
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    BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data حسب Jean-Christophe Lachance (6619307)

    منشور في 2019
    "…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …"
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    Comparative statistical performance of various algorithms in minimizing the <i>F</i> cost function. حسب Davut Izci (15927452)

    منشور في 2023
    "…<p>Comparative statistical performance of various algorithms in minimizing the <i>F</i> cost function.…"
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    Comparison of details of different algorithms. حسب Hao Wu (65943)

    منشور في 2024
    الموضوعات:
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    Structure of the LMPEC algorithm model. حسب Hao Wu (65943)

    منشور في 2024
    الموضوعات:
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    Bioinformatics pipeline for circadian function. حسب Patrick B. Schwartz (14782608)

    منشور في 2023
    "…Concordantly, strong positive correlations (0.5 < ρ < 1, red) should be apparent among transcriptional activators (e.g., <i>BMAL1</i> and <i>CLOCK</i>) and among transcriptional repressors (e.g., <i>NR1D1</i> and <i>PER2</i>), and a strong negative correlation (-0.5 > ρ > -1, blue) should be present amongst activators and repressor targets (e.g., <i>BMAL1</i> and <i>PER2</i>). …"
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    Hyperparameter settings of the algorithm 1. حسب Jin Xu (31283)

    منشور في 2024
    "…Therefore, this paper presents a novel adaptive control structure for the Twin Delayed Deep Deterministic Policy Gradient algorithm, which is based on a reference trajectory model (TD3-RTM). …"
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