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Sep, 2022
天文不确定时间序列的可解释分类
Explainable classification of astronomical uncertain time series
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Michael Franklin Mbouopda, Emille E O Ishida, Engelbert Mephu Nguifo, Emmanuel Gangler
TL;DR
研究了机器学习在天体物理学中的作用,对不确定的时间序列建立了可解释的子序列模型以达到与现有方法相当的分类效果,并考虑了数据不确定性以及对模型进行解释。
Abstract
Exploring the expansion history of the universe, understanding its evolutionary stages, and predicting its future evolution are important goals in
astrophysics
. Today,
machine learning
tools are used to help achi
→