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GECCO
2007
Springer
147views Optimization» more  GECCO 2007»
13 years 10 months ago
An approach to analyze the evolution of symbolic conditions in learning classifier systems
Pier Luca Lanzi, Stefano Rocca, Stefania Solari
GECCO
2006
Springer
177views Optimization» more  GECCO 2006»
13 years 8 months ago
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
DMIN
2008
190views Data Mining» more  DMIN 2008»
13 years 6 months ago
Optimization of Self-Organizing Maps Ensemble in Prediction
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
Elie Prudhomme, Stéphane Lallich