Results 91 to 100 of about 66,452 (290)

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Analyzing cooperative game theory solutions: core and Shapley value in cartesian product of two sets

Frontiers in Applied Mathematics and Statistics
The core and the Shapley value stand out as the most renowned solutions for addressing sharing problems in cooperative game theory. These concepts are widely acknowledged for their effectiveness in tackling negotiation, resource allocation, and power ...
Mekdad Slime, Mohammed El Kamli, Abdellah Ould Khal   +2 more
doaj   +1 more source

A collaborative approach based on Shapley value for carriers in the supply chain distribution. [PDF]

Heliyon, 2023
Wang Y.
europepmc   +1 more source

The Shapley value for bicooperative games [PDF]

The aim of the present paper is to study a one-point solution concept for bicooperative games. For these games introduced by Bilbao (2000), we define a one-point solution called the Shapley value, since this value can be interpreted in a similar way to ...
Jesús Mario Bilbao, Jorge Jesús López, Julio R. Fernández, Nieves Jiménez   +3 more
core  

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

Advanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar, Tiago L. P. Galvão, José D. Gouveia, José R. B. Gomes   +3 more
wiley   +1 more source

SWTA-Shapley: an efficient contribution evaluation method for federated learning

Dianxin kexue
Federated learning has effectively addressed the “data silo” issue caused by data privacy protection. To maintain the long-term operation of federated learning systems, it is necessary to attract high-quality data owners to participate in federated ...
BAO Shihao, NI Zhengwei
doaj  

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

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Retracted: A Decision Method for Benefit Distribution Mechanism of Shared End Distribution on Shapley Value. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Uncertainty of the Shapley Value [PDF]

This paper introduces a measure of uncertainty in the determination of the Shapley value, illustrates it with examples, and studies some of its properties.
Vladislav Kargin
core