Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization

Eyke Hüllermeier. Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int. J. Approx. Reasoning, 55(7):1519-1534, 2014. [doi]

@article{Hullermeier14,
  title = {Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization},
  author = {Eyke Hüllermeier},
  year = {2014},
  doi = {10.1016/j.ijar.2013.09.003},
  url = {http://dx.doi.org/10.1016/j.ijar.2013.09.003},
  researchr = {https://researchr.org/publication/Hullermeier14},
  cites = {0},
  citedby = {0},
  journal = {Int. J. Approx. Reasoning},
  volume = {55},
  number = {7},
  pages = {1519-1534},
}