article
Rejoinder on "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
5571609-1613
E. Hüllermeier, “Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” <i>Int. J. Approx. Reasoning</i>, vol. 55, no. 7, pp. 1609–1613, 2014.
Hüllermeier, Eyke. “Rejoinder on "Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” <i>Int. J. Approx. Reasoning</i>, vol. 55, no. 7, 2014, pp. 1609–13.
@article{Hüllermeier_2014, title={Rejoinder on "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={1609–1613} }
Hüllermeier, E. (2014). Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. <i>Int. J. Approx. Reasoning</i>, <i>55</i>(7), 1609–1613.
E. Hüllermeier, Int. J. Approx. Reasoning 55 (2014) 1609–1613.
Hüllermeier, Eyke. “Rejoinder on "Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” <i>Int. J. Approx. Reasoning</i> 55, no. 7 (2014): 1609–13.
Hüllermeier E. Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. <i>Int J Approx Reasoning</i>. 2014;55(7):1609-1613.
103092019-06-26T11:12:38Z2022-01-06T06:50:36Z