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143
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AAAI
2007
15 years 7 months ago
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution
Much of artificial intelligence research is focused on devising optimal solutions for challenging and well-defined but highly constrained problems. However, as we begin creating...
Bobby D. Bryant, Risto Miikkulainen
171
Voted
GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
15 years 6 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
145
Voted
GECCO
2005
Springer
15 years 10 months ago
Intelligent exploration method for XCS
Exploration/Exploitation equilibrium is one of the most challenging issues in reinforcement learning area as well as learning classifier systems such as XCS. In this paper1 , an i...
Ali Hamzeh, Adel Rahmani
AAAI
2000
15 years 6 months ago
Performance Comparison of Landmark Recognition Systems for Navigating Mobile Robots
Self-localisation is an essential competence for mobile robot navigation. Due to the fundamental unreliability of dead reckoning, a robot must depend on its perception of external...
Tom Duckett, Ulrich Nehmzow
SAC
2009
ACM
15 years 11 months ago
Building an efficient preference XML query processor
Today user-centered information acquisition over collections of complex XML documents is increasingly in demand. To this end, preferences have become an important paradigm enablin...
SungRan Cho, Wolf-Tilo Balke