Robotics & Machine Learning Daily News2024,Issue(Nov.15) :71-72.

Researchers from Tongji University Describe Findings in Machine Learning (Impact of Sampling for Landslide Susceptibility Assessment Using Interpretable Machine Learning Models)

同济大学的研究人员描述了机器学习的发现(使用可解释机器学习模型进行滑坡敏感性评估的抽样影响)

Robotics & Machine Learning Daily News2024,Issue(Nov.15) :71-72.

Researchers from Tongji University Describe Findings in Machine Learning (Impact of Sampling for Landslide Susceptibility Assessment Using Interpretable Machine Learning Models)

同济大学的研究人员描述了机器学习的发现(使用可解释机器学习模型进行滑坡敏感性评估的抽样影响)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的最新研究结果已经发表。据新闻报道NewsRx编辑从上海报道,研究称,“滑坡”敏感性评估在满足D isaster的迫切需求方面取得了重大进展预防和减轻。然而,滑坡分布的内在不平衡带来了挑战和因此,出现了各种抽样策略。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Shanghai, People’s R epublic of China, by NewsRx editors, research stated, “Landslidesusceptibility assessment has made significant strides in meeting the urgent requirements for d isasterprevention and mitigation. However, the inherent imbalance in landslide distributions poses challenges andthus various sampling strategies emerge.”

Key words

Shanghai/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Tongji University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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