Data-Dependent Bounds for Multi-category Classification Based on Convex Losses

Ilya Desyatnikov, Ron Meir. Data-Dependent Bounds for Multi-category Classification Based on Convex Losses. In Bernhard Schölkopf, Manfred K. Warmuth, editors, Computational Learning Theory and Kernel Machines, 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings. Volume 2777 of Lecture Notes in Computer Science, pages 159-172, Springer, 2003. [doi]

@inproceedings{DesyatnikovM03,
  title = {Data-Dependent Bounds for Multi-category Classification Based on Convex Losses},
  author = {Ilya Desyatnikov and Ron Meir},
  year = {2003},
  url = {http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=2777&spage=159},
  tags = {rule-based, classification, data-flow},
  researchr = {https://researchr.org/publication/DesyatnikovM03},
  cites = {0},
  citedby = {0},
  pages = {159-172},
  booktitle = {Computational Learning Theory and Kernel Machines, 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings},
  editor = {Bernhard Schölkopf and Manfred K. Warmuth},
  volume = {2777},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-40720-0},
}