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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, .
    
    
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    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.
    
    
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    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 .
    
    
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    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, .
    
    
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