A robust algorithm of support vector regression with a trimmed Huber loss function in the primal
Crossref DOI link: https://doi.org/10.1007/s00500-016-2229-4
Published Online: 2016-06-22
Published Print: 2017-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Chen, Chuanfa
Yan, Changqing
Zhao, Na
Guo, Bin
Liu, Guolin
Funding for this research was provided by:
National Natural Science Foundation of China (41101433, 41371367)
Qingdao Science and Technology Program of Basic Research Project (13-1-4-239-jch)
License valid from 2016-06-22