Results 111 to 120 of about 29,055 (302)

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

Differences in learning characteristics between support vector machine and random forest models for compound classification revealed by Shapley value analysis. [PDF]

Sci Rep, 2023
Siemers FM, Bajorath J.
europepmc   +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   +1 more source

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

Measuring Pitcher Production Fairly in Baseball Using the Shapley Value

Games
This paper introduces fairer measures of individual pitcher performance in baseball using the Shapley Value from coalitional game theory. The paper’s key conceptual innovation is a novel two-stage procedure for constructing the coalitionary game value ...
Michael McBride
doaj   +1 more source

Protocol to explain graph neural network predictions using an edge-centric Shapley value-based approach. [PDF]

STAR Protoc, 2022
Mastropietro A, Pasculli G, Bajorath J.
europepmc   +1 more source

New Axiomatizations and an Implementation of the Shapley Value

Some new axiomatic characterizations and recursive formulas of the Shapley value are presented. In the results, dual games and the self-duality of the value implicitly play an important role.
Kongo, T., Tijs, S.H., Funaki, Y.
core  

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  

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Equitable Distribution in a Three Players Problem

Studies in Logic, Grammar and Rhetoric, 2014
Jazz band is a 3 player superadditive game in characteristic function form. Three players have to divide the payoff they can get, while being in a grand coalition, provided their individual and duo coalitions payoffs are known.
Szopa Marek
doaj   +1 more source