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6 de may. de 2024 · Lloyd Shapley (born June 2, 1923, Cambridge, Massachusetts, U.S.—died March 12, 2016, Tucson, Arizona) was an American mathematician who was awarded the 2012 Nobel Prize for Economics. He was recognized for his work in game theory on the theory of stable allocations.
14 de may. de 2024 · This concept, originally formulated by Lloyd Shapley, becomes indispensable in scenarios where distinct actors contribute unequally yet collaborate towards a shared objective. The central premise of the Shapley value is to guarantee that each participant receives a payoff commensurate with their contribution, ensuring it is not less ...
14 de may. de 2024 · The Shapley value provides a natural means of quantifying the contributions of facts to database query answers. In this work, we seek to broaden our understanding of Shapley value computation (SVC) in the database setting by revealing how it relates to ...
Hace 1 día · Game theory experienced a flurry of activity in the 1950s, during which the concepts of the core, the extensive form game, fictitious play, repeated games, and the Shapley value were developed. The 1950s also saw the first applications of game theory to philosophy and political science. Prize-winning achievements
Hace 1 día · Lloyd S Shapley. Stochastic games. Proceedings of the national academy of sciences, 39(10):1095-1100, 1953. Google Scholar; Aaron Sidford, Mengdi Wang, Lin Yang, and Yinyu Ye. Solving discounted stochastic two-player games with near-optimal time and sample complexity. In International Conference on Artificial Intelligence and Statistics, pages ...
19 de may. de 2024 · It is named after the economist Lloyd Shapley, who introduced the idea in 1953 (Tlemsani et al. 2023). Although this theory was created before, it did not have much scope due to complex calculations. In the past few years, with the advent of advanced computing technologies, the interest in expanding the use of this computing tool has increased again (Reddy et al. 2023 ).
Hace 1 día · Shapley values allow to understand the contribution of each P C i j 𝑃 subscript 𝐶 𝑖 𝑗 PC_{ij} italic_P italic_C start_POSTSUBSCRIPT italic_i italic_j end_POSTSUBSCRIPT in the resulting feature set to a model’s prediction, which enables us to identify which combination’s principal components are most important for the emotion recognition.
