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Using the Shapley Value to Analyze Algorithm Portfolios
Author(s) -
Alexandre Fréchette,
Lars Kotthoff,
Tomasz Michalak,
Talal Rahwan,
Holger H. Hoos,
Kevin LeytonBrown
Publication year - 2016
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v30i1.10440
Subject(s) - component (thermodynamics) , shapley value , portfolio , computer science , algorithm , measure (data warehouse) , set (abstract data type) , cooperative game theory , value (mathematics) , mathematical optimization , game theory , mathematics , machine learning , data mining , mathematical economics , economics , finance , physics , programming language , thermodynamics

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