Top-k selection based on adaptive sampling of noisy preferences

R. Busa-Fekete, B. Szoreny, P. Weng, W. Cheng, E. Hüllermeier, in: S. Dasgupta, D. McAllester (Eds.), In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1094–1102.

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in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA
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1094-1102
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Busa-Fekete R, Szoreny B, Weng P, Cheng W, Hüllermeier E. Top-k selection based on adaptive sampling of noisy preferences. In: Dasgupta S, McAllester D, eds. In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA. ; 2013:1094-1102.
Busa-Fekete, R., Szoreny, B., Weng, P., Cheng, W., & Hüllermeier, E. (2013). Top-k selection based on adaptive sampling of noisy preferences. In S. Dasgupta & D. McAllester (Eds.), in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA (pp. 1094–1102).
@inproceedings{Busa-Fekete_Szoreny_Weng_Cheng_Hüllermeier_2013, title={Top-k selection based on adaptive sampling of noisy preferences}, booktitle={in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA}, author={Busa-Fekete, Robert and Szoreny, B. and Weng, P. and Cheng, W. and Hüllermeier, Eyke}, editor={Dasgupta, S. and McAllester, D.Editors}, year={2013}, pages={1094–1102} }
Busa-Fekete, Robert, B. Szoreny, P. Weng, W. Cheng, and Eyke Hüllermeier. “Top-k Selection Based on Adaptive Sampling of Noisy Preferences.” In In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, edited by S. Dasgupta and D. McAllester, 1094–1102, 2013.
R. Busa-Fekete, B. Szoreny, P. Weng, W. Cheng, and E. Hüllermeier, “Top-k selection based on adaptive sampling of noisy preferences,” in in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1094–1102.
Busa-Fekete, Robert, et al. “Top-k Selection Based on Adaptive Sampling of Noisy Preferences.” In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, edited by S. Dasgupta and D. McAllester, 2013, pp. 1094–102.

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