Robotics & Machine Learning Daily News2024,Issue(Jun.27) :64-65.

Study Results from Guangxi University Broaden Understanding of Machine Learning (The influence of service performance in China’s sci-tech commissioner system: U sing social network analysis and interpretable machine learning)

广西大学的研究成果拓宽了对机器学习的理解(中国科技专员系统服务绩效的影响:基于社会网络分析和可解释性机器学习)

Robotics & Machine Learning Daily News2024,Issue(Jun.27) :64-65.

Study Results from Guangxi University Broaden Understanding of Machine Learning (The influence of service performance in China’s sci-tech commissioner system: U sing social network analysis and interpretable machine learning)

广西大学的研究成果拓宽了对机器学习的理解(中国科技专员系统服务绩效的影响:基于社会网络分析和可解释性机器学习)

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于人工智能的新报告。根据NewsRx记者在中华人民共和国南宁的新闻报道,研究称,"(SCS)科技专员系统是中国政府利用科技加强农业部门探索性努力的结果"。这项研究的资助者包括中国国家社会科学基金。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on artificial in telligence. According to news reporting from Nanning, People’s Republic of China , by NewsRx journalists, research stated, “The Sci-Tech Commissioner System (SCS ) is a result of exploratory efforts by the Chinese government to use science an d technology to strengthen the agricultural sector.” Funders for this research include Chinese National Funding of Social Sciences.

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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