ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(September 2020):
Hybrid Ranking and Regression for Algorithm Selection.
KI 2020: Advances in Artificial Intelligence. 43rd German Conference on AI, Bamberg, Germany, September 21–25, 2020.
Schmid, Ute; Klügl, Franziska und Wolter, Diedrich (eds.) :
In: KI 2020: Advances in Artificial Intelligence, Proceedings, Lecture Notes in Computer Science
Vol. 12325
Cham: Springer. pp. 59-72
[PDF, 377kB]
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Form of publication: | Publisher's Version |
| Faculties: | Mathematics, Computer Science and Statistics > Computer Science > Artificial Intelligence and Machine Learning |
| Subjects: | 000 Computer science, information and general works > 004 Data processing computer science |
| URN: | urn:nbn:de:bvb:19-epub-91641-7 |
| ISBN: | 978-3-030-58284-5 ; 978-3-030-58285-2 |
| Place of Publication: | Cham |
| Language: | English |
| Item ID: | 91641 |
| Date Deposited: | 28. Mar 2022 08:44 |
| Last Modified: | 10. Dec 2024 09:44 |
| DFG: | Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 160364472 |
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