Optimal Training and Efficient Model Selection for Parameterized Large Margin Learning

Yuxun Zhou, Jae-Yeon Baek, Dan Li, Costas J. Spanos. Optimal Training and Efficient Model Selection for Parameterized Large Margin Learning. In James Bailey, Latifur Khan, Takashi Washio, Gillian Dobbie, Joshua Zhexue Huang, Ruili Wang, editors, Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I. Volume 9651 of Lecture Notes in Computer Science, pages 52-64, Springer, 2016. [doi]

@inproceedings{ZhouBLS16-0,
  title = {Optimal Training and Efficient Model Selection for Parameterized Large Margin Learning},
  author = {Yuxun Zhou and Jae-Yeon Baek and Dan Li and Costas J. Spanos},
  year = {2016},
  doi = {10.1007/978-3-319-31753-3_5},
  url = {http://dx.doi.org/10.1007/978-3-319-31753-3_5},
  researchr = {https://researchr.org/publication/ZhouBLS16-0},
  cites = {0},
  citedby = {0},
  pages = {52-64},
  booktitle = {Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I},
  editor = {James Bailey and Latifur Khan and Takashi Washio and Gillian Dobbie and Joshua Zhexue Huang and Ruili Wang},
  volume = {9651},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-31752-6},
}