Genetic and Evolutionary Computation COnference

GECCO-2005

Table of Contents

Author Index

Learning Classifier Systems and Other 
Genetics-Based Machine Learning 

Modeling Systems with Internal State using Evolino  (page 1795)
D. Wierstra, F. J. Gomez (IDSIA)
J. Schmidhuber (IDSIA, TU Munich)

XCS for Robust Automatic Target Recognition  (page 1803)
B. Ravichandran, A. Gandhe (Scientific Systems Company Inc.)
R. E. Smith (University of The West of England)

Constructive Induction and Genetic Algorithms for Learning Concepts with Complex Interaction  (page 1811)
L. S. Shafti, E. Pérez Pérez (Universidad Autónoma de Madrid)

A First Order Logic Classifier System  (page 1819)
D. Mellor (The University of Newcastle)

Extending XCSF Beyond Linear Approximation  (page 1827)
P. L. Lanzi (Politecnico di Milano, University of Illinois at Urbana Champaign)
D. Loiacono (Politecnico di Milano)
S. W. Wilson, D. E. Goldberg (University of Illinois at Urbana-Champaign)

Kernel-based, Ellipsoidal Conditions in the Real-Valued XCS Classifier System  (page 1835) (Return to Top)
M. V. Butz (University of Würzburg)

Analysis of the Initialization Stage of a Pittsburgh Approach Learning Classifier System  (page 1843)
J. Bacardit (University of Nottingham)

XCS with Eligibility Traces  (page 1851)
J. Drugowitsch, A. M. Barry (University of Bath)

XCS with Computed Prediction in Multistep Environments  (page 1859)
P. L. Lanzi (Politecnico di Milano, University of Illinois at Urbana-Champaign)
D. Loiacono (Politecnico di Milano)
S. W. Wilson, D. E. Goldberg (University of Illinois at Urbana-Champaign)

ATNoSFERES revisited  (page 1867)
S. Landau (Université de Rerís-Sud)
O. Sigaud (Université Pierre et Marie Curie)
M. Schoenauer (Université de Rerís-Sud)

An Abstraction Algorithm for Genetics-based Reinforcement Learning  (page 1875)
W. Browne, D. Scott (University of Reading)

DXCS: an XCS System For Distributed Data Mining  (page 1883)
H. H. Dam, H. A. Abbass, C. Lokan (University of New South Wales)

Learning Classifier Systems and Other 
Genetics-Based Machine Learning: Poster

The Compact Classifier System: Motivation, Analysis, and First Results  (page 1893)
X. Llorà, K. Sastry, D. E. Goldberg (University of Illinois at Urbana-Champaign)