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4 Publikationen
2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12806
Hinterleitner, Alexander, Richard Schulz, Lukas Hans, Aleksandr Subbotin, Nils Barthel, Noah Pütz, Martin Rosellen, Thomas Bartz-Beielstein, Christoph Geng, and Phillip Priss. “Online Machine Learning and Surrogate-Model-Based Optimization for Improved Production Processes Using a Cognitive Architecture.” Applied Sciences : Open Access Journal 13, no. 20 (2023). https://doi.org/10.3390/app132011506.
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2022 | Konferenzband - Beitrag | ELSA-ID: 12804
Besginow, Andreas, and Markus Lange-Hegermann. Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations. Edited by S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, A. Oh, and Neural Information Processing Systems Foundation . 36th Conference on Neural Information Processing Systems (NeurIPS 2022) . Vol. 35. Advances in Neural Information Processing Systems. Red Hook, NY : Curran Associates, Inc., 2022.
ELSA
2021 | Konferenzband - Beitrag | ELSA-ID: 12786
Lange-Hegermann, Markus. Linearly Constrained Gaussian Processes with Boundary Conditions. Edited by A. Banerjee and K. Fukumizu. 24th International Conference on Artificial Intelligence and Statistics (AISTATS). Vol. 130. Proceedings of Machine Learning Research : PMLR . MLResearchPress , 2021.
ELSA
2018 | Konferenz - Beitrag | ELSA-ID: 2007
Holst, Christoph-Alexander, and Volker Lohweg. “A Conflict-Based Drift Detection And Adaptation Approach for Multisensor Information Fusion.” In 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Torino, Italy, 2018. https://doi.org/10.1109/ETFA.2018.8502571.
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