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Model independent feature attributions: Shapley values that uncover non-linear dependencies

Research article (PeerJ Computer Science, 2021) · cited 18× · AI/ML
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Model independent feature attributions: Shapley values that uncover non-linear dependencies

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Model independent feature attributions: Shapley values that uncover non-linear dependencies is a scholarly article[1].

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  • Model independent feature attributions: Shapley values that uncover non-linear dependencies's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Model independent feature attributions: Shapley values that uncover non-linear dependencies. Retrieved May 24, 2026, from https://4ort.xyz/entity/model-independent-feature-attributions-shapley-values-that-uncover-non-linear-dependencies
MLA “Model independent feature attributions: Shapley values that uncover non-linear dependencies.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/model-independent-feature-attributions-shapley-values-that-uncover-non-linear-dependencies.
BibTeX @misc{4ortxyz_model-independent-feature-attributions-shapley-values-that-uncover-non-linear-dependencies_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Model independent feature attributions: Shapley values that uncover non-linear dependencies}}, year = {2026}, url = {https://4ort.xyz/entity/model-independent-feature-attributions-shapley-values-that-uncover-non-linear-dependencies}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Model independent feature attributions: Shapley values that uncover non-linear dependencies — https://4ort.xyz/entity/model-independent-feature-attributions-shapley-values-that-uncover-non-linear-dependencies (retrieved 2026-05-24)

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