arXivAI Research
How Conformal Prediction Sets Quantify Information Gain: An Information-Theoretic Foundation
符合性預測集合如何量化資訊增益：資訊理論的新視角
This study establishes an information-theoretic foundation for using Conformal Prediction set sizes as uncertainty metrics, linking them to Shannon mutual information.
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