Robotics & Machine Learning Daily News2024,Issue(Nov.13) :58-59.

Institute of Informatics Researchers Describe Research in Machine Learning (Stak eholder-centric explanations for black-box decisions: an XAI process model and I ts application to automotive goodwill assessments)

信息研究所研究人员描述了机器学习的研究(以Stak eholder为中心的黑箱决策解释:XAI过程模型和在汽车商誉评估中的应用)

Robotics & Machine Learning Daily News2024,Issue(Nov.13) :58-59.

Institute of Informatics Researchers Describe Research in Machine Learning (Stak eholder-centric explanations for black-box decisions: an XAI process model and I ts application to automotive goodwill assessments)

信息研究所研究人员描述了机器学习的研究(以Stak eholder为中心的黑箱决策解释:XAI过程模型和在汽车商誉评估中的应用)

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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新闻-关于人工智能的详细数据已经呈现。根据新闻报道来自德国慕尼黑的Ne wsRx记者的研究表明:“机器学习已经取得了巨大的进步。”近年来预测性能的进展。尽管取得了这些进步,但使用机器学习由于许多高性能产品的复杂性,高风险领域的模型仍然具有挑战性模型。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on artificial intelligence have bee n presented. According to news reporting originatingfrom Munich, Germany, by Ne wsRx correspondents, research stated, “Machine learning has made tremendousprog ress in predictive performance in recent years. Despite these advances, employin g machine learningmodels in high-stake domains remains challenging due to the o paqueness of many high-performancemodels.”

Key words

Institute of Informatics/Munich/German y/Europe/Automobiles/Cyborgs/Emerging Technologies/Machine Learning/Transp ortation

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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