On the differences between L(2)Boosting and the Lasso

Vogt Michael

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On the differences between L(2)Boosting and the Lasso

机译：关于L（2）升压与套索之间的差异

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In this short note, we prove that L-2 Boosting lacks a theoretical property which is central to the behavior of l(1)-penalized methods such as basis pursuit and the Lasso. (C) 2019 Elsevier B.V. All rights reserved.

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《Statistics & Probability Letters》 |2020年第2020期|共7页
作者
Vogt Michael;
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作者单位

Univ Bonn Dept Econ D-53113 Bonn Germany;

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原文格式 PDF
正文语种 eng
中图分类概率论（几率论、或然率论）;
关键词
L(2 )Boosting; High-dimensional linear models; Parameter recovery/estimation; Restricted nullspace property; Restricted eigenvalue condition;

机译：L（2）升压;高维线性模型;参数恢复/估计;限制无效属性;限制特征值条件;

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专利

1. On the differences between L(2)Boosting and the Lasso [J] . Vogt Michael Statistics & Probability Letters . 2020,第期

机译：关于L（2）升压与套索之间的差异
2. REGULARISATION IN DISCRETE SURVIVAL MODELS: A COMPARISON OF LASSO AND GRADIENT BOOSTING [J] . Alphonce Bere, Godfrey H. Sithuba, Coster Mabvuu, South African statistical journal . 2021,第1期

机译：在离散生存模型中规范化：套索和梯度提升的比较
3. Failure prediction of Indian Banks using SMOTE, Lasso regression, bagging and boosting [J] . Santosh Shrivastava, P Mary Jeyanthi, Sarbjit Singh Cogent Economics & Finance . 2020,第1期

机译：印度银行使用Smote，Lasso回归，装袋和提升的故障预测
4. Lasso—Based Tag Expansion and Tag—Boosted Collaborative Filtering [C] . Jian Shao, Lu Yao, Ruiyu Cai, PCM 2010;Pacific Rim conference on multimedia . 2010

机译：基于套索的标签扩展和标签的协作过滤
5. Boosting Methods for Automatic Segmentation of Focal Liver Lesions =Boosting-Verfahren zur automatischen Segmentierung fokaler Leberl?sionen [D] . Militzer, Arne. 2015

机译：局灶性肝病变自动分割的促进方法=自动分割焦点激发的升压程序
6. Boosting Texture-Based Classification by Describing Statistical Information of Gray-Levels Differences [O] . Óscar García-Olalla, Laura Fernández-Robles, Enrique Alegre, 2019

机译：通过描述灰度差异的统计信息来促进基于纹理的分类
7. Discussion: A tale of three cousins: Lasso, L2Boosting and Dantzig [O] . Meinshausen, N, Rocha, G, Yu, B 2008

机译：讨论：三个堂兄的故事：套索，L2Boosting和Dantzig

On the differences between L(2)Boosting and the Lasso

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