Support Vector Regression Based on Unconstrained Convex Quadratic Programming

Weida Zhou, Li Zhang, Licheng Jiao, Jin Pan. Support Vector Regression Based on Unconstrained Convex Quadratic Programming. In Licheng Jiao, Lipo Wang, Xinbo Gao, Jing Liu, Feng Wu, editors, Advances in Natural Computation, Second International Conference, ICNC 2006, Xi an, China, September 24-28, 2006. Proceedings, Part I. Volume 4221 of Lecture Notes in Computer Science, pages 167-174, Springer, 2006. [doi]

@inproceedings{ZhouZJP06,
  title = {Support Vector Regression Based on Unconstrained Convex Quadratic Programming},
  author = {Weida Zhou and Li Zhang and Licheng Jiao and Jin Pan},
  year = {2006},
  doi = {10.1007/11881070_27},
  url = {http://dx.doi.org/10.1007/11881070_27},
  tags = {rule-based, programming},
  researchr = {https://researchr.org/publication/ZhouZJP06},
  cites = {0},
  citedby = {0},
  pages = {167-174},
  booktitle = {Advances in Natural Computation, Second International Conference, ICNC 2006, Xi an, China, September 24-28, 2006. Proceedings, Part I},
  editor = {Licheng Jiao and Lipo Wang and Xinbo Gao and Jing Liu and Feng Wu},
  volume = {4221},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-45901-4},
}