Robotics & Machine Learning Daily News2024,Issue(Dec.6) :89-89.

Sun Yat-sen University Researchers Yield New Study Findings on Machine Learning (Inferring the heterogeneous effect of urban land use on building height with ca usal machine learning)

中山大学研究人员在机器学习方面取得了新的研究成果(用计算机学习推断城市土地利用对建筑物高度的异质性影响)

Robotics & Machine Learning Daily News2024,Issue(Dec.6) :89-89.

Sun Yat-sen University Researchers Yield New Study Findings on Machine Learning (Inferring the heterogeneous effect of urban land use on building height with ca usal machine learning)

中山大学研究人员在机器学习方面取得了新的研究成果(用计算机学习推断城市土地利用对建筑物高度的异质性影响)

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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-研究人员详细介绍了人工智能的新数据。根据来自…的消息中华人民共和国广州,NewsRx记者,研究称,"抽象机器"学习已经成为土地利用变化建模的重要方法。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in artific ial intelligence. According to news originating fromGuangzhou, People’s Republi c of China, by NewsRx correspondents, research stated, “ABSTRACTMachinelearning has become an important approach for land use change modeling.”

Key words

Sun Yat-sen University/Guangzhou/Peopl e’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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