KAS: A Kernel Alignment-Based Sampling Probability Approach for Medical Data Valuation
Data valuation, critical for quantifying individual data points’ contributions to model performance, faces challenges in noisy, high-dimensional medical datasets due to inherent feature correlations and measurement uncertainties. Existing Shapley value-based methods struggle with an accur...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11072492/ |
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