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GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
13 years 5 months ago
Self-adaptive mutation in XCSF
Recent advances in XCS technology have shown that selfadaptive mutation can be highly useful to speed-up the evolutionary progress in XCS. Moreover, recent publications have shown...
Martin V. Butz, Patrick O. Stalph, Pier Luca Lanzi
GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
13 years 5 months ago
Recursive least squares and quadratic prediction in continuous multistep problems
XCS with computed prediction, namely XCSF, has been recently extended in several ways. In particular, a novel prediction update algorithm based on recursive least squares and the ...
Daniele Loiacono, Pier Luca Lanzi
CEC
2005
IEEE
13 years 10 months ago
XCS with computed prediction for the learning of Boolean functions
Computed prediction represents a major shift in learning classifier system research. XCS with computed prediction, based on linear approximators, has been applied so far to functi...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...
ECML
2007
Springer
13 years 11 months ago
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Mark Schmidt, Glenn Fung, Rómer Rosales
ICMCS
2010
IEEE
258views Multimedia» more  ICMCS 2010»
13 years 5 months ago
A comparative study of similarity measures for content-based multimedia retrieval
Determining similarities among data objects is a core task of content-based multimedia retrieval systems. Approximating data object contents via flexible feature representations, ...
Christian Beecks, Merih Seran Uysal, Thomas Seidl