Differences in learning characteristics between support vector machine and random forest models for compound classification revealed by Shapley value analysis. [PDF]
Sci Rep, 2023 The random forest (RF) and support vector machine (SVM) methods are mainstays in molecular machine learning (ML) and compound property prediction. We have explored in detail how binary classification models derived using these algorithms arrive at their ...
Siemers FM, Bajorath J.
europepmc +2 more sources
From Shapley Value to Model Counting and Back [PDF]
Proc. ACM Manag. Data, 2023 In this paper we investigate the problem of quantifying the contribution of each variable to the satisfying assignments of a Boolean function based on the Shapley value.
Ahmet Kara, Dan Olteanu, Dan Suciu
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Data valuation for medical imaging using Shapley value and application to a large-scale chest X-ray dataset [PDF]
Scientific Reports, 2021 The reliability of machine learning models can be compromised when trained on low quality data. Many large-scale medical imaging datasets contain low quality labels extracted from sources such as medical reports.
Siyi Tang +6 more
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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 ...
I. Benjamini +7 more
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Characterizations, Potential, and an Implementation of the Shapley-Solidarity Value [PDF]
Mathematics, 2020 In this paper, we provide cooperative and non-cooperative interpretations of the Shapley–Solidarity value for cooperative games with coalition structure. Firstly, we present two new characterizations of this value based on intracoalitional quasi-balanced
Jun Su +3 more
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Shapley value: from cooperative game to explainable artificial intelligence
Autonomous Intelligent SystemsWith the tremendous success of machine learning (ML), concerns about their black-box nature have grown. The issue of interpretability affects trust in ML systems and raises ethical concerns such as algorithmic bias.
Meng Li +3 more
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Two Approaches to Estimate the Shapley Value for Convex Partially Defined Games [PDF]
Mathematics, 2023 In the classical approach of von Neumann and Morgenstern to cooperative games, it was assumed that the worth of all coalitions must be given. However, in real-world problems, the worth of some coalitions may be unknown.
Satoshi Masuya
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Shapley Value Confidence Intervals for Attributing Variance Explained
Frontiers in Applied Mathematics and Statistics, 2020 The coefficient of determination, the R2, is often used to measure the variance explained by an affine combination of multiple explanatory covariates. An attribution of this explanatory contribution to each of the individual covariates is often sought in
Daniel Fryer, Inga Strümke, Hien Nguyen
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Variance Allocation and Shapley Value [PDF]
Methodology and Computing in Applied Probability, 2017 Motivated by the problem of utility allocation in a portfolio under a Markowitz mean-variance choice paradigm, we propose an allocation criterion for the variance of the sum of $n$ possibly dependent random variables.
Colini-Baldeschi, Riccardo +2 more
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The Shapley Value of Phylogenetic Trees [PDF]
Journal of Mathematical Biology, 2007 Every weighted tree corresponds naturally to a cooperative game that we call a "tree game"; it assigns to each subset of leaves the sum of the weights of the minimal subtree spanned by those leaves.
Haake, Claus-Jochen +2 more
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