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GECCO
2010
Springer
199views Optimization» more  GECCO 2010»
13 years 9 months ago
A comparative study: function approximation with LWPR and XCSF
Patrick O. Stalph, Jérémie Rubinszta...
GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
13 years 8 months ago
Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation
We study how different prediction update algorithms influence the performance of XCSF. We consider three classical parameter estimation algorithms (NLMS, RLS, and Kalman filter) a...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...
GECCO
2008
Springer
170views Optimization» more  GECCO 2008»
13 years 5 months ago
Evolving prediction weights using evolution strategy
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
Trung Hau Tran, Cédric Sanza, Yves Duthen
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
13 years 8 months ago
Support vector regression for classifier prediction
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi
GECCO
2006
Springer
191views Optimization» more  GECCO 2006»
13 years 8 months ago
Using convex hulls to represent classifier conditions
This papers presents a novel representation of classifier conditions based on convex hulls. A classifier condition is represented by a sets of points in the problem space. These p...
Pier Luca Lanzi, Stewart W. Wilson