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GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
15 years 9 months ago
Ensemble selection for evolutionary learning using information theory and price's theorem
This paper presents an information theoretic perspective on design and analysis of evolutionary algorithms. Indicators of solution quality are developed and applied not only to in...
Stuart W. Card, Chilukuri K. Mohan
PKDD
2000
Springer
108views Data Mining» more  PKDD 2000»
15 years 8 months ago
Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control
This paper investigates the use of reinforcement learning in electric power system emergency control. The approach consists of using numerical simulations together with on-policy M...
Christophe Druet, Damien Ernst, Louis Wehenkel
EUSFLAT
2001
115views Fuzzy Logic» more  EUSFLAT 2001»
15 years 6 months ago
A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions
When a whole knowledge base must be derived for a fuzzy rule-based system, learning methods usually address this task with two or more sequential stages by separately designing ea...
Jorge Casillas, Oscar Cordón, Francisco Her...
IWEC
2004
15 years 6 months ago
Read-It: A Multi-modal Tangible Interface for Children Who Learn to Read
Multi-modal tabletop applications offer excellent opportunities for enriching the education of young children. Read-It is an example of an interactive game with a multi-modal tangi...
Ivo Weevers, Wouter Sluis, Claudia van Schijndel, ...
NIPS
2003
15 years 6 months ago
Learning Near-Pareto-Optimal Conventions in Polynomial Time
We study how to learn to play a Pareto-optimal strict Nash equilibrium when there exist multiple equilibria and agents may have different preferences among the equilibria. We focu...
Xiao Feng Wang, Tuomas Sandholm