Results 11 to 20 of about 11,307,335 (373)
A Shapley Value Approach to Pricing Climate Risks [PDF]
Economics: Journal Articles, 2011 This paper prices the risk of climate change by calculating a lower bound for the price of a virtual insurance policy against climate risks associated with the business as usual (BAU) emissions path. In analogy with ordinary insurance pricing, this price
Roger M. Cooke
doaj +4 more sources
EdgeSHAPer: Bond-centric Shapley value-based explanation method for graph neural networks. [PDF]
iScience, 2022 Mastropietro A +4 more
europepmc +2 more sources
, 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.
Daniel M. Tom
openalex +3 more sources
Protocol to explain support vector machine predictions via exact Shapley value computation. [PDF]
STAR ProtocMastropietro A, Bajorath J.
europepmc +3 more sources
The use of the Shapley value in planning innovative projects [PDF]
Nowoczesne Systemy Zarządzania, 2013 Tomasz JANICKI
doaj +2 more sources
FW-Shapley: Real-Time Estimation of Weighted Shapley Values [PDF]
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Accepted at ICASSP ...
Pranoy Panda +2 more
openalex +3 more sources
Algorithms to estimate Shapley value feature attributions [PDF]
Nature Machine Intelligence, 2022 Feature attributions based on the Shapley value are popular for explaining machine learning models. However, their estimation is complex from both theoretical and computational standpoints.
Hugh Chen +3 more
semanticscholar +1 more source
The Shapley Value in Machine Learning [PDF]
International Joint Conference on Artificial Intelligence, 2022 Over the last few years, the Shapley value, a solution concept from cooperative game theory, has found numerous applications in machine learning. In this paper, we first discuss fundamental concepts of cooperative game theory and axiomatic properties of ...
Benedek Rozemberczki +6 more
semanticscholar +1 more source
Approximating the Shapley Value without Marginal Contributions [PDF]
AAAI Conference on Artificial Intelligence, 2023 The Shapley value, which is arguably the most popular approach for assigning a meaningful contribution value to players in a cooperative game, has recently been used intensively in explainable artificial intelligence.
Patrick Kolpaczki +2 more
semanticscholar +1 more source