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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 und Phillip Priss. 2023. Online Machine Learning and Surrogate-Model-Based Optimization for Improved Production Processes Using a Cognitive Architecture.   Applied Sciences : open access journal 13, Nr. 20. doi:10.3390/app132011506, .
ELSA | DOI | WoS
 

2022 | Konferenzband - Beitrag | ELSA-ID: 12804
Besginow, Andreas und Markus Lange-Hegermann. 2022. Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations. Hg. von S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, A. Oh, und Neural Information Processing Systems Foundation . 36th Conference on Neural Information Processing Systems (NeurIPS 2022) . Bd. 35. Advances in Neural Information Processing Systems. Red Hook, NY : Curran Associates, Inc.
ELSA
 

2021 | Konferenzband - Beitrag | ELSA-ID: 12786
Lange-Hegermann, Markus. 2021. Linearly Constrained Gaussian Processes with Boundary Conditions. Hg. von A. Banerjee und K. Fukumizu. 24th International Conference on Artificial Intelligence and Statistics (AISTATS). Bd. 130. Proceedings of machine learning research : PMLR . MLResearchPress .
ELSA
 

2018 | Konferenz - Beitrag | ELSA-ID: 2007
Holst, Christoph-Alexander und Volker Lohweg. 2018. 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. doi:10.1109/ETFA.2018.8502571, .
ELSA | DOI | Download (ext.)
 

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Zitationsstil: Chicago (de)

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