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Updated: Jun 13, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Published on: July 3, 2020

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通过机器学习增加历史人均GDP估计的可用性

Philipp Koch1,2, Viktor Stojkoski1,3, César A Hidalgo1,4,5

  • 1Center for Collective Learning, Artificial and Natural Intelligence Toulouse Institute, Institut de Recherche en Informatique de Toulouse, Université de Toulouse, 31000 Toulouse, France.

Proceedings of the National Academy of Sciences of the United States of America
|September 16, 2024
PubMed
概括

历史传记数据可以估计欧洲和北美七个世纪的人均GDP. 机器学习模型准确地预测经济产出,验证了这种用于历史经济研究的新方法.

关键词:
经济发展 经济发展经济史 经济史 历史机器学习是机器学习.

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