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Feb, 2020
正则化在高维噪声高斯混合分类中的作用
The role of regularization in classification of high-dimensional noisy Gaussian mixture
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Francesca Mignacco, Florent Krzakala, Yue M. Lu, Lenka Zdeborová
TL;DR
研究了高维混合的两个高斯类在噪声条件下的学习，正则化方法可以让分类器达到贝叶斯最优性能，同时分析了正则化程度的影响。
Abstract
We consider a
high-dimensional
mixture
of two
gaussians
in the noisy regime where even an oracle knowing the centers of the clusters miscl
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