KAS: A Kernel Alignment-Based Sampling Probability Approach for Medical Data Valuation

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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Bibliographic Details
Main Authors: Mingming Jiang, Qinghe Liu, Hongli Xu, Wenting Liao, Rilige Wu, Longji Li, Yawei Zhao, Kunlun He
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Data valuation
medical data analysis
Shapley value
kernel alignment
implicit decomposition
Online Access:https://ieeexplore.ieee.org/document/11072492/
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