A robust adaptive linear regression method for severe noise

Author:

Guo Yaqing,Wang Wenjian

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference38 articles.

1. Zhou Z (2018) A brief introduction to weakly supervised learning. Natl Sci Rev 5(1):44–53

2. Gupta D, Gupta U (2021) On robust asymmetric lagrangian $$\nu -$$twin support vector regression using pinball loss function. Appl Soft Comput 102:107099

3. Jiang G, Wang W, Qian Y, Liang J (2021) A unified sample selection framework for output noise filtering: an error-bound perspective. J Mach Learn Res 22(18):1–66

4. Zhang C, Li H, Chen C, Qian Y, Zhou X (2022) Enhanced group sparse regularized nonconvex regression for face recognition. IEEE Trans Pattern Anal Mach Intell 44(5):2438–2452

5. Zhou Z (2016) Machine learning. Tsinghua University Press, Beijing

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A New Type of LASSO Regression Model with Cauchy Noise;Journal of Agricultural, Biological and Environmental Statistics;2023-11-28

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