Webb11 feb. 2024 · Over the last few years, the Shapley value, a solution concept from cooperative game theory, has found numerous applications in machine learning. In this … WebbNotes on the n-Person Game — II: The Value of an n-Person Game Author: Lloyd S. Shapley Subject: A deduction of a "value" for the essential n-person game and the establishment …
The problem of fair division of surplus development rights in ...
WebbNSF AAG grants [AST1312780, 1312547, 1312764, 1313171]; Space Telescope Science Institute [AR-13907]; NASA ADAP program [NNX16AF54]; NASA [15-WFIRST15-0004] Webbuse the Shapley value to solve the attribution problem, i.e., feature importance for a specific prediction. The first paper applies the Shapley value by retraining the model … duty of candour radiology
Shapley Value: Explaining AI - Medium
WebbAbstract. We argue that using the Shapley value of cooperative game theory as the scheme for risk allocation among non-orthogonal risk factors is a natural way of interpreting the contribution made by each of such factors to overall portfolio risk. We discuss a Shapley value scheme for allocating risk to non-orthogonal greeks in a portfolio of ... Webb10 apr. 2024 · Because of its ease of interpretation, the Shapley approach has quickly become one of the most popular model-agnostic methods within explainable artificial intelligence (Lundberg et al., 2024). A variation on Shapley values is SHAP, introduced by Lundberg and Lee , which can produce explanations with only a targeted set of predictor … Webb7 maj 2024 · Shapley value (let us denote it SV) uses a finite formula of combinatorial kind to assign a unique distribution among all the players who yield a total surplus in their … duty of candour incident reporting