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SIGECOM
2004
ACM
134views ECommerce» more  SIGECOM 2004»
15 years 3 months ago
Computing approximate bayes-nash equilibria in tree-games of incomplete information
We provide efficient algorithms for finding approximate BayesNash equilibria (BNE) in graphical, specifically tree, games of incomplete information. In such games an agent’s p...
Satinder P. Singh, Vishal Soni, Michael P. Wellman
CLIMA
2009
14 years 7 months ago
Argumentation-Based Preference Modelling with Incomplete Information
Abstract. No intelligent decision support system functions even remotely without knowing the preferences of the user. A major problem is that the way average users think about and ...
Wietske Visser, Koen V. Hindriks, Catholijn M. Jon...
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 1 months ago
Indirect co-evolution for understanding belief in an incomplete information dynamic game
This study aims to design a new co-evolution algorithm, Mixture Co-evolution which enables modeling of integration and composition of direct co-evolution and indirect coevolution....
Nanlin Jin
ESANN
2008
14 years 11 months ago
K-nearest neighbours based on mutual information for incomplete data classification
Incomplete data is a common drawback that machine learning techniques need to deal with when solving real-life classification tasks. One of the most popular procedures for solving ...
Pedro J. García-Laencina, José-Luis ...
ATAL
2004
Springer
15 years 3 months ago
The Advantages of Compromising in Coalition Formation with Incomplete Information
This paper presents protocols and strategies for coalition formation with incomplete information under time constraints. It focuses on strategies for coalition members to distribu...
Sarit Kraus, Onn Shehory, Gilad Taase