Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization
E. Hüllermeier, Int. J. Approx. Reasoning 55 (2014) 1519–1534.
Download
No fulltext has been uploaded.
Journal Article
| English
Author
Department
Publishing Year
Journal Title
Int. J. Approx. Reasoning
Volume
55
Issue
7
Page
1519-1534
LibreCat-ID
Cite this
Hüllermeier E. Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int J Approx Reasoning. 2014;55(7):1519-1534.
Hüllermeier, E. (2014). Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int. J. Approx. Reasoning, 55(7), 1519–1534.
@article{Hüllermeier_2014, title={Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization}, volume={55}, number={7}, journal={Int. J. Approx. Reasoning}, author={Hüllermeier, Eyke}, year={2014}, pages={1519–1534} }
Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning 55, no. 7 (2014): 1519–34.
E. Hüllermeier, “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” Int. J. Approx. Reasoning, vol. 55, no. 7, pp. 1519–1534, 2014.
Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning, vol. 55, no. 7, 2014, pp. 1519–34.
Google Scholar