Results 11 to 20 of about 2,644 (209)
Shapley values reveal the drivers of soil organic carbon stock prediction [PDF]
SOIL, 2023 Insights into the controlling factors of soil organic carbon (SOC) stock variation are necessary both for our scientific understanding of the terrestrial carbon balance and to support policies that intend to promote carbon storage in soils to mitigate ...
A. M. J.-C. Wadoux +2 more
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CoRR, 2013 Following the original interpretation of the Shapley value (Shapley, 1953a) as a priori evaluation of the prospects of a player in a multi-person interaction situation, we propose a group value, which we call the Shapley group value, as a priori evaluation of the prospects of a group of players in a coalitional game when acting as a unit.
Tejada, Juan +2 more
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Explaining a series of models by propagating Shapley values
Nature Communications, 2022 Series of machine learning models, relevant for tasks in biology, medicine, and finance, usually involve complex feature attribution techniques. The authors introduce a tractable method to compute local feature attributions for a series of machine ...
Hugh Chen, Scott M. Lundberg, Su-In Lee
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Explaining Multiclass Compound Activity Predictions Using Counterfactuals and Shapley Values
Molecules, 2023 Most machine learning (ML) models produce black box predictions that are difficult, if not impossible, to understand. In pharmaceutical research, black box predictions work against the acceptance of ML models for guiding experimental work.
Alec Lamens, Jürgen Bajorath
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The Inverse Shapley Value Problem [PDF]
Games and Economic Behavior, 2012 For $f$ a weighted voting scheme used by $n$ voters to choose between two candidates, the $n$ \emph{Shapley-Shubik Indices} (or {\em Shapley values}) of $f$ provide a measure of how much control each voter can exert over the overall outcome of the vote.
Anindya De +2 more
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Assessing Antithetic Sampling for Approximating Shapley, Banzhaf, and Owen Values
AppliedMath, 2023 Computing Shapley values for large cooperative games is an NP-hard problem. For practical applications, stochastic approximation via permutation sampling is widely used. In the context of machine learning applications of the Shapley value, the concept of
Jochen Staudacher, Tim Pollmann
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The Shapley value of phylogenetic trees [PDF]
Journal of Mathematical Biology, 2007 References added, and a section (calculating the Shapley value of a tree game from its subtrees) was removed for length reasons (request of referee) and may appear in another paper. 16 pages; related work at http://www.math.hmc.edu/~su/papers.html. Journal of Mathematical Biology, to appear.
Haake, Claus-Jochen +2 more
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Explaining predictive models using Shapley values and non-parametric vine copulas
Dependence Modeling, 2021 In this paper the goal is to explain predictions from complex machine learning models. One method that has become very popular during the last few years is Shapley values.
Aas Kjersti +3 more
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Solving Fuzzy Optimization Problems Using Shapley Values and Evolutionary Algorithms
Mathematics, 2023 The fusion of evolutionary algorithms and the solution concepts of cooperative game theory is proposed in this paper to solve the fuzzy optimization problems.
Hsien-Chung Wu
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The Shapley Value, Proper Shapley Value, and Sharing Rules for Cooperative Ventures [PDF]
SSRN Electronic Journal, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
René van den Brink +2 more
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