BriefGPT.xyz
Jul, 2013
一项适用于稀疏逻辑回归的安全筛选规则
A Safe Screening Rule for Sparse Logistic Regression
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Jie Wang, Jiayu Zhou, Peter Wonka, Jieping Ye
TL;DR
本文提出了一种用于高维数据稀疏逻辑回归分类和特征选择的快速和有效的稀疏逻辑回归筛选规则(Slores),能够在解决稀疏逻辑回归问题的计算成本基础上实现数据集的一次扫描获得 0 组件,未来可与任何现有的稀疏逻辑回归引擎集成以提高效率。
Abstract
The
l1-regularized logistic regression
(or sparse logistic regression) is a widely used method for simultaneous classification and
feature selection
. Although many recent efforts have been devoted to its efficien
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