Results 101 to 110 of about 776,810 (287)

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  

Efficient computation of the Shapley value for game-theoretic network centrality [PDF]

, 2013
The Shapley value—probably the most important normative payoff division scheme in coalitional games—has recently been advocated as a useful measure of centrality in net-works.
Michalak, T, Piotr L. Szczepański, Aaditha, K. V., Szczepanski, P. L., Balaraman Ravindran, Tomasz P. Michalak, Jennings, N. R., Aaditha, KV, Nicholas R. Jennings, Michalak, Tomasz, Karthik V. Aadithya, Ravindran, B, Jennings, NR, Szczepanski, PL   +13 more
core   +1 more source

Mechanisms and drivers of soil pH assessed by Shapley additive explanation

CATENA
http://dx.doi.org/10.13039/501100015658 Ufa State Petroleum Technological ...
Azamat Suleymanov, Yakov Kuzyakov, Ilgiz Asylbaev, Igor Rusakov, Ruslan Suleymanov, Iren Tuktarova, Larisa Belan   +6 more
openaire   +2 more sources

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Weighted Average Lexicographic Values for Share Sets and Balanced Cooperative Games [PDF]

Inspired by Kalai-Samet [4] and Tijs [11], weighted average lexicographic values are introduced for share sets and for cores of cooperative games using induction arguments. Continuity properties and monotonicity properties of these weighted lexicographic
Tijs, S.H., Torre, A., Caprari, E.
core  

Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their Complementarity

Unsupervised anomaly detection is a challenging problem due to the diversity of data distributions and the lack of labels. Ensemble methods are often adopted to mitigate these challenges by combining multiple detectors, which can reduce individual biases and increase robustness.
Jordan Levy, Paul Saves, Moncef Garouani, Nicolas Verstaevel, Benoit Gaudou   +4 more
openaire   +2 more sources

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Predicting travel mode choice with a robust neural network and Shapley additive explanations analysis

IET Intelligent Transport Systems
Predicting and understanding travellers’ mode choices is crucial to developing urban transportation systems and formulating traffic demand management strategies. Machine learning (ML) methods have been widely used as promising alternatives to traditional
Li Tang, Chuanli Tang, Qi Fu, Changxi Ma
doaj   +1 more source

Exploring the Pedestrian Route Choice Behaviors by Machine Learning Models

ISPRS International Journal of Geo-Information
To investigate pedestrian route choice mechanisms from a perspective distinct from that employed in discrete choice models (DCMs), this study utilizes machine learning models and employs SHapley Additive exPlanations (SHAP) for model interpretation.
Cheng-Jie Jin, Yuanwei Luo, Chenyang Wu, Yuchen Song, Dawei Li   +4 more
doaj   +1 more source

On the set of imputations induced by the k-additive core [PDF]

An extension to the classical notion of core is the notion of $k$-additive core, that is, the set of $k$-additive games which dominate a given game, where a $k$-additive game has its Möbius transform (or Harsanyi dividends) vanishing for subsets of more ...
Michel Grabisch, Tong Li
core