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AAMAS
2007
Springer
15 years 4 months ago
Networks of Learning Automata and Limiting Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
Peter Vrancx, Katja Verbeeck, Ann Nowé
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 4 months ago
Another investigation on tournament selection: modelling and visualisation
Tournament selection has been widely used and studied in evolutionary algorithms. To supplement the study of tournament selection, this paper provides several models describing th...
Huayang Xie, Mengjie Zhang, Peter Andreae
ISIPTA
2005
IEEE
161views Mathematics» more  ISIPTA 2005»
15 years 3 months ago
Decision making under incomplete data using the imprecise Dirichlet model
The paper presents an efficient solution to decision problems where direct partial information on the distribution of the states of nature is available, either by observations of ...
Lev V. Utkin, Thomas Augustin
INFOCOM
2003
IEEE
15 years 3 months ago
Network Management Information For Light-Path Assessment: Trade-off between Performance and Complexity
We investigate network management information for light-path assessment to dynamically set up end-to-end lightpaths across administrative domains. Our focus is on invetigating what...
Guanglei Liu, Chuanyi Ji, Vincent W. S. Chan
CSB
2002
IEEE
230views Bioinformatics» more  CSB 2002»
15 years 3 months ago
Prediction of Protein Function Using Protein-Protein Interaction Data
Assigning functions to novel proteins is one of the most important problems in the post-genomic era. Several approaches have been applied to this problem, including analyzing gene...
Minghua Deng, Kui Zhang, Shipra Mehta, Ting Chen, ...