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    Benchmarking of Gaussian Process Regression with Multiple Random Fields for Spatial Variability Estimation 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2022:;Volume ( 008 ):;issue: 004:;page 04022052
    Author(s): Yukihisa Tomizawa; Ikumasa Yoshida
    Publisher: ASCE
    Abstract: Benchmarking is very valuable for evaluating and comparing methodologies. Here, Gaussian process regression using multiple Gaussian random fields (GPR-MR) is applied to benchmarking data for spatial variability problems. ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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