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- W4285606919 abstract "Over the last few years, the Shapley value, a solution concept from cooperative game theory, has found numerous applications in machine learning. In this paper, we first discuss fundamental concepts of cooperative game theory and axiomatic properties of the Shapley value. Then we give an overview of the most important applications of the Shapley value in machine learning: feature selection, explainability, multi-agent reinforcement learning, ensemble pruning, and data valuation. We examine the most crucial limitations of the Shapley value and point out directions for future research." @default.
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- W4285606919 date "2022-07-01" @default.
- W4285606919 modified "2023-10-16" @default.
- W4285606919 title "The Shapley Value in Machine Learning" @default.
- W4285606919 doi "https://doi.org/10.24963/ijcai.2022/778" @default.
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