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
(May 2021):
Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.
In: Karlapalem, Kamal; Cheng, Hong; Ramakrishnan, Naren; Agrawal, R. K.; Krishna Reddy, P.; Srivastava, Jaideep und Chakraborty, Tanmoy (eds.) : (2021):
Advances in Knowledge Discovery and Data Mining 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I. Lecture Notes in Computer Science, Vol. 12712. Cham: Springer. pp. 152-163
[PDF, 532kB]

Item Type: | Book Section |
---|---|
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-91670-8 |
ISBN: | 978-3-030-75761-8 ; 978-3-030-75762-5 |
Place of Publication: | Cham |
Annotation: | Lecture Notes in Artificial Intelligence (LNAI, volume 12712) |
Language: | English |
Item ID: | 91670 |
Date Deposited: | 29. Mar 2022 13:53 |
Last Modified: | 10. Dec 2024 09:28 |
DFG: | Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 160364472 |