Results 31 to 40 of about 28,332 (249)
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 MERGE PROPERTIES OF THE SHAPLEY VALUE [PDF]
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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itsdm: Isolation forest‐based presence‐only species distribution modelling and explanation in r
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
doaj +1 more source
To be presented at the 2022 ACM FAccT ...
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Privacy and Explainability: The Effects of Data Protection on Shapley Values
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
doaj +1 more source
Exact Shapley values for local and model-true explanations of decision tree ensembles
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
doaj +1 more source
Shapley value is a concept in cooperative game theory for measuring the contribution of each participant, which was named in honor of Lloyd Shapley. Shapley value has been recently applied in data marketplaces for compensation allocation based on their contribution to the models.
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Leak Localization Using Autoencoders and Shapley Values
This study outlines the use of a game theoretic approach for preliminary leak localization in water distribution networks. The proposed method consists of an autoencoder model at its core, trained to reconstruct input pressure signals recorded during ...
Prasanna Mohan Doss +2 more
doaj +1 more source
Integrating traditional and non-traditional model risk frameworks in credit scoring
Background: An improved understanding of the reasoning behind model decisions can enhance the use of machine learning (ML) models in credit scoring.
Hendrik A. du Toit +2 more
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Variance Allocation and Shapley Value [PDF]
20pages
COLINI BALDESCHI, RICCARDO +2 more
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