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Dokumenttyp:
Konferenzbeitrag 
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz 
Autor(en):
A. Lederer; M. Kessler; S. Hirche 
Titel:
GP3: A Sampling-based Analysis Framework for Gaussian Processes 
Abstract:
Although machine learning is increasingly applied in control approaches, only few methods guarantee certifiable safety, which is necessary for real world applications. These approaches typically rely on well-understood learning algorithms, which allow formal theoretical analysis. Gaussian process regression is a prominent example among those methods, which attracts growing attention due to its strong Bayesian foundations. Even though many problems regarding the analysis of Gaussian processes hav...    »
 
Stichworte:
data_driven_control 
Kongress- / Buchtitel:
Proceedings of the 21st IFAC World Congress 
Jahr:
2020 
Jahr / Monat:
2020-07