TY  - GEN
N2  - Chapter "Dynamically Self-Adjusting Gaussian Processes for Data Stream Modelling" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
DO  - 10.1007/978-3-031-15791-2
DO  - doi
AB  - Chapter "Dynamically Self-Adjusting Gaussian Processes for Data Stream Modelling" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
T1  - KI 2022 :advances in artificial intelligence : 45th German Conference on AI, Trier, Germany, September 19-23, 2022, Proceedings /
AU  - Bergmann, R.
AU  - Malburg, Lukas,
AU  - Rodermund, Stephanie C.
AU  - Timm, Ingo J.,
VL  - 13404
CN  - Q334
N1  - Includes author index.
ID  - 1449670
KW  - Artificial intelligence
KW  - Machine learning
SN  - 9783031157912
SN  - 3031157915
TI  - KI 2022 :advances in artificial intelligence : 45th German Conference on AI, Trier, Germany, September 19-23, 2022, Proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-15791-2
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-15791-2
ER  -