Results 121 to 130 of about 5,693,469 (294)

Applications of Shapley Value to Financial Decision-Making and Risk Management

AppliedMath
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, Olamide Ayodele, Kayode Oshinubi   +2 more
doaj   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
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, Christian Mark Pelicano   +1 more
wiley   +1 more source

Sometimes the computation of the Shapley value is simple

, 2019
The impressive amount of papers concerning the Shapley value, seems to well reflect the success of the method to convert the information contained in a cooperative game into a personal attribution that players may use as a "prospect" in the game.
Stefano Moretti, Vito Fragnelli, Marco Dall’Aglio, Marco Dall'Aglio   +3 more
core   +2 more sources

When less is more powerful: Shapley value attributed ablation with augmented learning for practical time series sensor data classification. [PDF]

PLoS One, 2022
Ukil A, Marin L, Jara AJ.
europepmc   +1 more source

Shapley compensation scheme [PDF]

We study a particular class of cost sharing games – "data games" – covering situations wheresome players own data which are useful for a project pursued by the set of all players. Theproblem is to set up compensations between players.
DEHEZ, Pierre
core  

Bayesian Exploration of Metal‐Organic Framework‐Derived Nanocomposites for High‐Performance Supercapacitors

Advanced Intelligent Discovery, EarlyView.
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc, Pritam Banerjee, Felipe Jacques Lima Duarte, Joerg R. Jinschek, Premkumar Murugesan, Babak Rezaei, Stephan Sylvest Keller, Roland A. Fischer, Mian Zahid Hussain   +8 more
wiley   +1 more source

Marginal contributions and externalities in the value [PDF]

, 2005
For games in partition function form, we explore the implications of distinguishing between the concepts of intrinsic marginal contributions and externalities.
Serrano, Roberto, Clippel, Geoffroy de, De Clippel, Geoffroy   +2 more
core   +1 more source

Discovery of moiety preference by Shapley value in protein kinase family using random forest models. [PDF]

BMC Bioinformatics, 2022
Huang YW, Hsu YC, Chuang YH, Chen YT, Lin XY, Fan YW, Pathak N, Yang JM.   +7 more
europepmc   +1 more source

Forming societies and the Shapley NTU value [PDF]

We design a simple protocol of coalition formation. A society grows up by sequentially incorporating new members. The negotiations are always bilateral.
Juan Vidal-Puga
core  

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source