dc.contributor.author |
Martin, Andreas
|
|
dc.contributor.author |
Hinkelmann, Knut
|
|
dc.date.accessioned |
2023-05-11T05:00:32Z |
|
dc.date.available |
2023-05-11T05:00:32Z |
|
dc.date.issued |
2022 |
|
dc.description.abstract |
The AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for
Hybrid Intelligence (AAAI-MAKE 2022) brought together researchers and practitioners of the
two fields to reflect on advances in combining them, and to present the first results in creating
hybrid intelligence with the two AI methods. AAAI-MAKE 2022 is the fourth consecutive edition
of this symposium, which combines two prominent AI approaches, symbolic and sub-symbolic
AI, as hybrid AI. |
en_US |
dc.description.department |
Informatics |
en_US |
dc.description.librarian |
am2023 |
en_US |
dc.description.uri |
http://ceur-ws.org |
en_US |
dc.identifier.citation |
Martin, A. & Hinkelmann, K. 2022, 'AAAI-MAKE 2022 : machine learning and knowledge engineering for hybrid intelligence', CEUR Workshop Proceedings, vol. 3121, pp. 1. |
en_US |
dc.identifier.issn |
1613-0073 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/90630 |
|
dc.language.iso |
en |
en_US |
dc.publisher |
CEUR Workshop Proceedings |
en_US |
dc.rights |
© 2022 authors.
Under Creative Commons License Attribution 4.0 International (CC BY 4.0). |
en_US |
dc.subject |
AAAI 2022 Spring symposium |
en_US |
dc.subject |
Machine learning |
en_US |
dc.subject |
Knowledge engineering |
en_US |
dc.subject |
Hybrid intelligence |
en_US |
dc.title |
AAAI-MAKE 2022 : machine learning and knowledge engineering for hybrid intelligence |
en_US |
dc.type |
Article |
en_US |