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102
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GECCO
2004
Springer
15 years 9 months ago
Bounding Learning Time in XCS
It has been shown empirically that the XCS classifier system solves typical classification problems in a machine learning competitive way. However, until now, no learning time es...
Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
118
Voted
GECCO
2004
Springer
150views Optimization» more  GECCO 2004»
15 years 9 months ago
Parameter Adaptation within Co-adaptive Learning Classifier Systems
The authors propose a co-adaptive approach to controlling parameters for coevolution-based learning classifier systems. By taking advantage of the on-line incremental learning capa...
Chung-Yuan Huang, Chuen-Tsai Sun
156
Voted
ICALT
2009
IEEE
15 years 7 months ago
A General Architecture for the Integration of Educational Videogames in Standards-compliant Virtual Learning Environments
Although Virtual Learning Environments have become popular educational tools, they remain a very active research topic. Two important aspects being discussed for next-generation V...
Ángel del Blanco, Javier Torrente, Pablo Mo...
137
Voted
GOSLER
1995
15 years 7 months ago
Learning and Consistency
In designing learning algorithms it seems quite reasonable to construct them in such a way that all data the algorithm already has obtained are correctly and completely reflected...
Rolf Wiehagen, Thomas Zeugmann
141
Voted
NETWORKING
2007
15 years 5 months ago
Reinforcement Learning-Based Load Shared Sequential Routing
We consider event dependent routing algorithms for on-line explicit source routing in MPLS networks. The proposed methods are based on load shared sequential routing in which load ...
Fariba Heidari, Shie Mannor, Lorne Mason