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Shapley value attribution (SVA) is an increasingly popular explainable AI (XAI) method, which quantifies the contribution of each feature to the model's output. However, recent work has shown that most existing methods to implement SVAs have some dra
Externí odkaz:
http://arxiv.org/abs/2404.13522
Publikováno v:
International Journal of Computational Science and Engineering; 2019, Vol. 19 Issue: 1 p15-24, 10p
Publikováno v:
Cloud Computing & Security: Second International Conference, ICCCS 2016, Nanjing, China, July 29-31, 2016, Revised Selected Papers, Part I; 2016, p39-47, 9p