Results 91 to 100 of about 67,939 (291)

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

Heliyon, 2023
Wang Y.
europepmc   +1 more source

An Ordinal Shapley Value for Economic Environments (Revised Version) [PDF]

We propose a new solution concept to address the problem of sharing a surplus among the agents generating it. The problem is formulated in the preferences-endowments space.
David Perez-Castrillo, David Wettstein
core  

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 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  

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

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  

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

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

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

Shapley Values Infidelity

, 2023
Shapley values attempt to explain ML models using flat additive factors disregarding any tree hierarchy, and fails to distinguish between two different trees. We have been using log odds for segmentation tree of logistic regression models. Log odds faithfully reflect tree hierarchy and therefore explain decision trees, forests, and GBM much better.
openaire   +1 more source