使用高斯过程和贝叶斯推理模拟交通基础设施边坡稳定性的计算机实验——附录

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

DataCentric Engineering Pub Date : 2022-04-04 DOI:10.1017/dce.2022.14

A. Svalova, P. Helm, D. Prangle, M. Rouainia, S. Glendinning, D. Wilkinson

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引用次数: 1

摘要

《以数据为中心的工程》的编辑和出版商授予这篇文章“开放数据”和“开放材料”奖章。开放数据标志——表明再现报告结果所需的数据在开放访问存储库中可用，在开放许可下，并附有数据描述。开放材料徽章——表明与报告方法相关的任何基础设施、仪器或设备都可以在开放存取存储库中获得，并且有足够详细的描述，允许研究人员复制该过程。原来的文章已经更新，包括徽章。请参考数据可用性声明找到链接到开放数据或开放材料的标识符。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Emulating computer experiments of transport infrastructure slope stability using Gaussian processes and Bayesian inference—ADDENDUM

The editors and publisher ofData-Centric Engineering have awarded the Open Data and OpenMaterials badges to this article Svalova A, et al. (2021). Open Data Badge—indicates that data necessary to reproduce the reported results are available in an open access repository, under an open licence, with an accompanying description of the data. Open Materials Badge—indicates that any infrastructure, instruments, or equipment related to the reported methodology are available in an open access repository and are described in sufficient detail to allow a researcher to reproduce the procedure. The original article has been updated to include the badges. Please refer to the Data Availability Statement to find the identifier linking to the open data or open materials.

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来源期刊

DataCentric Engineering Engineering-General Engineering

CiteScore

5.60

自引率

0.00%

发文量

审稿时长

12 weeks