Representation of Quantification of Uncertainty in Machine Learning

MCML Authors

Eyke Hüllermeier

Prof. Dr.

Core PI

Artificial Intelligence and Machine Learning

Abstract

n/a

inproceedings Hue23

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TRR 165/181 2023

Scale interactions, data-driven modeling, and uncertainty in weather and climate. Ingolstadt, Germany, Mar 27-30, 2023. Invited Talk.

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Authors

E. Hüllermeier

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Links

PDF

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Research Area

 A3 | Computational Models