论文摘要
The convex l1-regularization problem has been received special attentions in the last two decades because of its properties of improving model interpretation.So far,there exists plentiful optimization methods to solve this problem.In this paper,we review the existing optimization methods and compare them to help users choose the most proper solver in their own scenarios.
论文目录
文章来源
类型: 国际会议
作者: Tingwei Huang
来源: 2019 International Conference on Intelligent Transportation,Big Data & Smart City(ICITBS 2019) 2019-01-12
年度: 2019
分类: 基础科学
专业: 数学
单位: Department of Electronic Information Engineering Technology,Chongqing University Of Posts And Telecommunications
分类号: O224
DOI: 10.26914/c.cnkihy.2019.056046
页码: 680-682
总页数: 3
文件大小: 236k
下载量: 1