A single fixed term in the Shapley value yields the same anomaly localization error probability as the full calculation for independent sensor observations, supported by a proof.
On Shapley value for measuring importance of dependent inputs
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
This paper makes the case for using Shapley value to quantify the importance of random input variables to a function. Alternatives based on the ANOVA decomposition can run into conceptual and computational problems when the input variables are dependent. Our main goal here is to show that Shapley value removes the conceptual problems. We do this with some simple examples where Shapley value leads to intuitively reasonable nearly closed form values.
fields
cs.LG 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
On Using the Shapley Value for Anomaly Localization: A Statistical Investigation
A single fixed term in the Shapley value yields the same anomaly localization error probability as the full calculation for independent sensor observations, supported by a proof.