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Nov, 2022
符号回归在可解释科学探究中的应用：评述
Interpretable Scientific Discovery with Symbolic Regression: A Review
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Nour Makke, Sanjay Chawla
TL;DR
本文综述了符号回归方法的优缺点，探讨了其在机器学习、深度学习等应用领域中以数据驱动的模型发现方法所取得的显著进展。
Abstract
symbolic regression
is emerging as a promising
machine learning
method for learning succinct underlying interpretable mathematical expressions directly from data. Whereas it has been traditionally tackled with ge
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