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GECCO
2004
Springer
14 years 3 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
GECCO
2004
Springer
150views Optimization» more  GECCO 2004»
14 years 3 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
ICALT
2009
IEEE
14 years 1 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...
GOSLER
1995
14 years 1 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
NETWORKING
2007
13 years 11 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