article
Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization
Eyke
Hüllermeier
author 48129
34
department
7
department
355
department
2014
eng
Int. J. Approx. Reasoning
5571519-1534
Hüllermeier E. Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. <i>Int J Approx Reasoning</i>. 2014;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} }
E. Hüllermeier, “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” <i>Int. J. Approx. Reasoning</i>, vol. 55, no. 7, pp. 1519–1534, 2014.
E. Hüllermeier, Int. J. Approx. Reasoning 55 (2014) 1519–1534.
Hüllermeier, E. (2014). Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. <i>Int. J. Approx. Reasoning</i>, <i>55</i>(7), 1519–1534.
Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” <i>Int. J. Approx. Reasoning</i>, vol. 55, no. 7, 2014, pp. 1519–34.
Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” <i>Int. J. Approx. Reasoning</i> 55, no. 7 (2014): 1519–34.
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