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An evidential deep-learning classifier based on Dempster-Shafer theory and deep learning

The proposed classifier consists of several stages for feature representation, a DS layer to construct mass functions, and an expected utility layer to make set-valued assignments based on the mass functions.

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Cite this as

Zheng Tong, Philippe Xu, Thierry Denœux (2024). Dataset: An evidential deep-learning classifier based on Dempster-Shafer theory and deep learning. https://doi.org/10.57702/gh8ttsfg

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Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.1016/j.neucom.2021.03.066
Author Zheng Tong
More Authors
Philippe Xu
Thierry Denœux
Homepage https://arxiv.org/abs/2103.12345