Benchmarking of Gaussian Process Regression with Multiple Random Fields for Spatial Variability Estimation-Reference-Cited by-同舟云学术

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

Published:2022-12 Issue:4 Volume:8 Page:
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Tomizawa Yukihisa¹,Yoshida Ikumasa²^ORCID

Affiliation:

1. Graduate Student, School of Integrative Science and Engineering, Tokyo City Univ., Tokyo 158-8557, Japan (corresponding author).

2. Professor, Dept. of Urban and Civil Engineering, Tokyo City Univ., Tokyo 158-8557, Japan. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

Reference26 articles.

3. Bishop, C. M. 2006. Pattern recognition and machine learning. New York: Springer.

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