Results 101 to 110 of about 29,055 (302)
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Applications of Shapley Value to Financial Decision-Making and Risk Management
We investigate the application of the Shapley value in addressing risk-related challenges, focusing on two primary areas. The first area explores the role of the Shapley value in the financial sector, specifically in managing portfolio risk.
Sunday Timileyin Ayodeji +2 more
doaj +1 more source
With the strengthening of multi-energy coupling and the advancement of energy reform, the integrated energy market has been gradually established, and severe energy price fluctuations in the integrated energy spot market have brought great risks to ...
Zuogang GUO +6 more
doaj +1 more source
A study on the factors influencing the utilization of public health services by China's migrant population based on the Shapley value method. [PDF]
Suo Z, Shao L, Lang Y.
europepmc +1 more source
An anytime approximation method for the inverse Shapley value problem
Coalition formation is the process of bringing together two or more agents so as to achieve goals that individuals on their own cannot, or to achieve them more efficiently.
Jennings, N. R. +3 more
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The Shapley value for airport and irrigation games [PDF]
In this paper cost sharing problems are considered. We focus on problems given by rooted trees, we call these problems cost-tree problems, and on the induced transferable utility cooperative games, called irrigation games.
Radványi, Anna +2 more
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Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
EdgeSHAPer: Bond-centric Shapley value-based explanation method for graph neural networks. [PDF]
Mastropietro A +4 more
europepmc +1 more source
A method to allocate the benefits to the players of a cooperative game is the Shapley value. Its computation demands the knowledge of all coaltion worths with certainty. This paper introduces the expected Shapley value, an extension of the Shapley to games were not all the worths are known with certainty.
openaire +2 more sources
Shapley-Value Decompositions of Changes in Wage Distributions: A Note [PDF]
This note shows how the Shapley-value can be applied to the regression-based methods that are often used to decompose changes in wage distributions. The method remedies the path-dependency exhibited by existing approaches that compute the contributions ...
Francesco Devicienti
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