A new approach for training Lagrangian twin support vector machine via unconstrained convex minimization. Balasundaram, S., Gupta, D., & Prasad, S. C. Appl. Intell., 46(1):124-134, 2017.
A new approach for training Lagrangian twin support vector machine via unconstrained convex minimization. [link]Link  A new approach for training Lagrangian twin support vector machine via unconstrained convex minimization. [link]Paper  bibtex   
@article{journals/apin/BalasundaramGP17,
  added-at = {2017-01-13T00:00:00.000+0100},
  author = {Balasundaram, S. and Gupta, Deepak and Prasad, Subhash Chandra},
  biburl = {https://www.bibsonomy.org/bibtex/2f602c801e5b7fca56c01c9b904461ed8/dblp},
  ee = {http://dx.doi.org/10.1007/s10489-016-0809-8},
  interhash = {927d5e152c00d0efe11a8287d375cde1},
  intrahash = {f602c801e5b7fca56c01c9b904461ed8},
  journal = {Appl. Intell.},
  keywords = {dblp},
  number = 1,
  pages = {124-134},
  timestamp = {2017-01-14T11:34:06.000+0100},
  title = {A new approach for training Lagrangian twin support vector machine via unconstrained convex minimization.},
  url = {http://dblp.uni-trier.de/db/journals/apin/apin46.html#BalasundaramGP17},
  volume = 46,
  year = 2017
}

Downloads: 0