Incorporating Uncertainty Quantification for the Performance Improvement of Academic Recommenders
Deep learning is widely used in many real-life applications. Despite their remarkable performance accuracies, deep learning networks are often poorly calibrated, which could be harmful in risk-sensitive scenarios. Uncertainty quantification offers a way to evaluate the reliability and trustworthines...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
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Series: | Knowledge |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-9585/3/3/20 |