conference paper Jonas Manuel Hanselle author 439800000-0002-1231-4985 Alexander Tornede author 38209 Marcel Dominik Wever author 33176 https://orcid.org/0000-0001-9782-6818 Eyke Hüllermeier author 48129 34 department 355 department 26 department The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021) SFB 901 project SFB 901 - Project Area B project SFB 901 - Subproject B2 project Computing Resources Provided by the Paderborn Center for Parallel Computing project 2021Delhi, India eng Hanselle JM, Tornede A, Wever MD, Hüllermeier E. Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. Published online 2021. J.M. Hanselle, A. Tornede, M.D. Wever, E. Hüllermeier, (2021). Hanselle, Jonas Manuel, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.” PAKDD, 2021. @article{Hanselle_Tornede_Wever_Hüllermeier_2021, series={PAKDD}, title={Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data}, author={Hanselle, Jonas Manuel and Tornede, Alexander and Wever, Marcel Dominik and Hüllermeier, Eyke}, year={2021}, collection={PAKDD} } Hanselle, J. M., Tornede, A., Wever, M. D., &#38; Hüllermeier, E. (2021). <i>Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data</i>. The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021), Delhi, India. Hanselle, Jonas Manuel, et al. <i>Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data</i>. 2021. J. M. Hanselle, A. Tornede, M. D. Wever, and E. Hüllermeier, “Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.” 2021. 211982021-02-09T09:30:14Z2022-08-24T12:49:06Z