Calibrating AI Models for Wireless Communications via Conformal Prediction
When used in complex engineered systems, such as communication networks, artificial intelligence (AI) models should be not only as accurate as possible, but also well calibrated. A well-calibrated AI model is one that can reliably quantify the uncertainty of its decisions, assigning high confidence...
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| Main Authors: | Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai Shitz |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Transactions on Machine Learning in Communications and Networking |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10262367/ |
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