Results 21 to 30 of about 2,644 (209)
2022 ACM Conference on Fairness Accountability and Transparency, 2022 To be presented at the 2022 ACM FAccT ...
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Alzheimer’s Research & Therapy, 2021 Background For the recruitment and monitoring of subjects for therapy studies, it is important to predict whether mild cognitive impaired (MCI) subjects will prospectively develop Alzheimer’s disease (AD).
Louise Bloch +2 more
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UNCERTAINTY OF THE SHAPLEY VALUE [PDF]
International Game Theory Review, 2003 This paper defines a measure of bargaining uncertainty that quantifies Roth's concept of strategic risk. It shows how this measure can be used for checking reliability of the Shapley value in cost allocation problems and in the theory of competitive equilibrium.
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Puzzle out Machine Learning Model-Explaining Disintegration Process in ODTs
Pharmaceutics, 2022 Tablets are the most common dosage form of pharmaceutical products. While tablets represent the majority of marketed pharmaceutical products, there remain a significant number of patients who find it difficult to swallow conventional tablets.
Jakub Szlęk +4 more
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ON MERGE PROPERTIES OF THE SHAPLEY VALUE [PDF]
International Game Theory Review, 2000 Given a transferable utility game, where the players merge into subgroups described by a partition, we address the following question: under which conditions on the characteristic function and partition, merging is beneficial if the Shapley value is applied. Our results can be positioned among the search for well-defined classes of games where merging
Jean Derks, Stef Tijs
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Mathematics, 2022 The diversity of data collected on both social networks and digital interfaces is extremely increased, raising the problem of heterogeneous variables that are not often favourable to classification algorithms.
Stéphane C. K. Tékouabou +4 more
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On the coincidence of the prenucleolus and the Shapley value [PDF]
Mathematical Social Sciences, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Anirban Kar +2 more
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itsdm: Isolation forest‐based presence‐only species distribution modelling and explanation in r
Methods in Ecology and Evolution, 2023 Multiple statistical algorithms have been used for species distribution modelling (SDM). Due to shortcomings in species occurrence datasets, presence‐only methods (such as MaxEnt) have become increasingly widely used.
Lei Song, Lyndon Estes
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Privacy and Explainability: The Effects of Data Protection on Shapley Values
Technologies, 2022 There is an increasing need to provide explainability for machine learning models. There are different alternatives to provide explainability, for example, local and global methods. One of the approaches is based on Shapley values.
Aso Bozorgpanah +2 more
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Exact Shapley values for local and model-true explanations of decision tree ensembles
Machine Learning with Applications, 2022 Additive feature explanations using Shapley values have become popular for providing transparency into the relative importance of each feature to an individual prediction of a machine learning model. While Shapley values provide a unique additive feature
Thomas W. Campbell +3 more
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