Robotics & Machine Learning Daily News2024,Issue(Aug.22) :73-74.

Researchers from Southwest Jiaotong University Report on Findings in Machine Lea rning (Exploring the Spatial Patterns of Landslide Susceptibility Assessment Usi ng Interpretable Shapley Method: Mechanisms of Landslide Formation In the …)

Robotics & Machine Learning Daily News2024,Issue(Aug.22) :73-74.

Researchers from Southwest Jiaotong University Report on Findings in Machine Lea rning (Exploring the Spatial Patterns of Landslide Susceptibility Assessment Usi ng Interpretable Shapley Method: Mechanisms of Landslide Formation In the …)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Chengdu, People’s Rep ublic of China, by NewsRx journalists, research stated, “Machinelearning models are often viewed as black boxes in landslide susceptibility assessment, lacking an analysisof how input features predict outcomes. This makes it challenging t o understand the mechanisms and keyfactors behind landslides.”

Key words

Chengdu/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Southwest Jiaotong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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