On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property

Maxime Gasse, Alexandre Aussem, Haytham Elghazel. On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property. In Francis R. Bach, David M. Blei, editors, Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France, 6-11 July 2015. Volume 37 of JMLR Proceedings, pages 2531-2539, JMLR.org, 2015. [doi]

@inproceedings{GasseAE15,
  title = {On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property},
  author = {Maxime Gasse and Alexandre Aussem and Haytham Elghazel},
  year = {2015},
  url = {http://jmlr.org/proceedings/papers/v37/gasse15.html},
  researchr = {https://researchr.org/publication/GasseAE15},
  cites = {0},
  citedby = {0},
  pages = {2531-2539},
  booktitle = {Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France, 6-11 July 2015},
  editor = {Francis R. Bach and David M. Blei},
  volume = {37},
  series = {JMLR Proceedings},
  publisher = {JMLR.org},
}