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Updated: Jun 25, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

碳汇交易中的人工智能:使用攻击树来评估低至中等风险场景

Mingqi Zhu1, Hui Huang2, Kaisheng Di3,4,5

  • 1School of Business and Management, Jilin University, Changchun, Jilin, China.

Risk analysis : an official publication of the Society for Risk Analysis
|February 20, 2026
PubMed
概括

人工智能 (AI) 增强了碳汇交易,但引入了安全风险. 本研究使用攻击树来识别人工智能驱动的碳市场威胁,并提出了加强安全和全球气候治理的缓解策略.

关键词:
人工智能的人工智能是人工智能.攻击树木攻击树木碳市场 是一个碳市场.碳交易是指碳交易.风险评估理论风险评估理论安全漏洞 - 安全漏洞

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相关概念视频

Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a survival tree begins...