On the effectiveness of heuristics for learning nested dichotomies: an empirial analysis

V. Melnikov, E. Hüllermeier, Machine Learning 107 (2018) 1537–1560.

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Journal Article | English
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Publishing Year
Journal Title
Machine Learning
Volume
107
Issue
8-10
Page
1537-1560
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Melnikov V, Hüllermeier E. On the effectiveness of heuristics for learning nested dichotomies: an empirial analysis. Machine Learning. 2018;107(8-10):1537-1560.
Melnikov, V., & Hüllermeier, E. (2018). On the effectiveness of heuristics for learning nested dichotomies: an empirial analysis. Machine Learning, 107(8–10), 1537–1560.
@article{Melnikov_Hüllermeier_2018, title={On the effectiveness of heuristics for learning nested dichotomies: an empirial analysis}, volume={107}, number={8–10}, journal={Machine Learning}, author={Melnikov, Vitaly and Hüllermeier, Eyke}, year={2018}, pages={1537–1560} }
Melnikov, Vitaly, and Eyke Hüllermeier. “On the Effectiveness of Heuristics for Learning Nested Dichotomies: An Empirial Analysis.” Machine Learning 107, no. 8–10 (2018): 1537–60.
V. Melnikov and E. Hüllermeier, “On the effectiveness of heuristics for learning nested dichotomies: an empirial analysis,” Machine Learning, vol. 107, no. 8–10, pp. 1537–1560, 2018.
Melnikov, Vitaly, and Eyke Hüllermeier. “On the Effectiveness of Heuristics for Learning Nested Dichotomies: An Empirial Analysis.” Machine Learning, vol. 107, no. 8–10, 2018, pp. 1537–60.

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