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Apr, 2023
ADMG因果数据增强实用指南
A Guide for Practical Use of ADMG Causal Data Augmentation
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Audrey Poinsot, Alessandro Leite
TL;DR
本文实验证明,采用 ADMG 因果增强方法可以提高机器学习模型的鲁棒性,特别是在处理少样本数据时,但其增强效果受到离群点的影响,也对超参数的值敏感。
Abstract
data augmentation
is essential when applying
machine learning
in small-data regimes. It generates new samples following the observed data distribution while increasing their diversity and variability to help rese
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