Robust piecewise linear L1-regression via nonsmooth DC optimization-Reference-Cited by-同舟云学术

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Robust piecewise linear L1-regression via nonsmooth DC optimization

Published:2020-12-08 Issue: Volume: Page:1-21
ISSN:1055-6788
Container-title:Optimization Methods and Software
language:en
Short-container-title:Optimization Methods and Software

Author:

Bagirov Adil M.¹,Taheri Sona²,Karmitsa Napsu³,Sultanova Nargiz¹,Asadi Soodabeh⁴

Affiliation:

1. School of Engineering, Information Technology and Physical Sciences, Federation University Australia, Ballarat, Australia

2. School of Mathematical Sciences, RMIT, Melbourne, Australia

3. Department of Mathematics and Statistics, University of Turku, Turku, Finland

4. Institute for Data Science, School of Engineering, University of Applied Sciences and Arts, Northwestern Switzerland, Brugg, Switzerland

Funder

Australian Research Council

Academy of Finland

Publisher

Informa UK Limited

Subject

Applied Mathematics,Control and Optimization,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/10556788.2020.1855171

Reference48 articles.

1. Detection of outliers in simple circular regression models using the mean circular error statistic

2. Outlier Analysis

3. C.C. Aggarwal and P.S. Yu, Outlier detection for high dimensional data, in Proceedings of the 2001 ACM SIGMOD international conference on Management of Data, Santa Barbara, 2001, pp. 37–46.

4. W. Alsuraihi, E. Al-hazmi, K. Bawazeer, and H. Alghamdi, Machine learning algorithms for diamond price prediction, in Proceedings of the 2020 2nd International Conference on Image, Video and Signal Processing, Singapore, 2020, pp. 150–154.

5. The DC (Difference of Convex Functions) Programming and DCA Revisited with DC Models of Real World Nonconvex Optimization Problems

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