2008 |
48 | EE | Martin V. Butz,
Pier Luca Lanzi,
Stewart W. Wilson:
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction.
IEEE Trans. Evolutionary Computation 12(3): 355-376 (2008) |
2007 |
47 | | Tim Kovacs,
Xavier Llorà,
Keiki Takadama,
Pier Luca Lanzi,
Wolfgang Stolzmann,
Stewart W. Wilson:
Learning Classifier Systems, International Workshops, IWLCS 2003-2005, Revised Selected Papers
Springer 2007 |
46 | EE | Stewart W. Wilson:
Classifier Conditions Using Gene Expression Programming.
IWLCS 2007: 206-217 |
45 | EE | Pier Luca Lanzi,
Daniele Loiacono,
Stewart W. Wilson,
David E. Goldberg:
Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension.
Evolutionary Computation 15(2): 133-168 (2007) |
44 | EE | Olivier Sigaud,
Stewart W. Wilson:
Learning classifier systems: a survey.
Soft Comput. 11(11): 1065-1078 (2007) |
2006 |
43 | EE | Martin V. Butz,
Pier Luca Lanzi,
Stewart W. Wilson:
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure.
GECCO 2006: 1457-1464 |
42 | EE | Pier Luca Lanzi,
Stewart W. Wilson:
Using convex hulls to represent classifier conditions.
GECCO 2006: 1481-1488 |
41 | EE | Pier Luca Lanzi,
Daniele Loiacono,
Stewart W. Wilson,
David E. Goldberg:
Classifier prediction based on tile coding.
GECCO 2006: 1497-1504 |
40 | EE | Pier Luca Lanzi,
Daniele Loiacono,
Stewart W. Wilson,
David E. Goldberg:
Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation.
GECCO 2006: 1505-1512 |
2005 |
39 | EE | Pier Luca Lanzi,
Daniele Loiacono,
Stewart W. Wilson,
David E. Goldberg:
XCS with computed prediction in continuous multistep environments.
Congress on Evolutionary Computation 2005: 2032-2039 |
38 | EE | Pier Luca Lanzi,
Daniele Loiacono,
Stewart W. Wilson,
David E. Goldberg:
XCS with computed prediction for the learning of Boolean functions.
Congress on Evolutionary Computation 2005: 588-595 |
37 | EE | Pier Luca Lanzi,
Daniele Loiacono,
Stewart W. Wilson,
David E. Goldberg:
Extending XCSF beyond linear approximation.
GECCO 2005: 1827-1834 |
36 | EE | Pier Luca Lanzi,
Daniele Loiacono,
Stewart W. Wilson,
David E. Goldberg:
XCS with computed prediction in multistep environments.
GECCO 2005: 1859-1866 |
35 | EE | Stewart W. Wilson:
Three Architectures for Continuous Action.
IWLCS 2005: 239-257 |
2004 |
34 | EE | Xavier Llorà,
Stewart W. Wilson:
Mixed Decision Trees: Minimizing Knowledge Representation Bias in LCS.
GECCO (2) 2004: 797-809 |
33 | EE | Stewart W. Wilson:
Classifier Systems for Continuous Payoff Environments.
GECCO (2) 2004: 824-835 |
32 | | Martin V. Butz,
Tim Kovacs,
Pier Luca Lanzi,
Stewart W. Wilson:
Toward a theory of generalization and learning in XCS.
IEEE Trans. Evolutionary Computation 8(1): 28-46 (2004) |
2003 |
31 | | Pier Luca Lanzi,
Wolfgang Stolzmann,
Stewart W. Wilson:
Learning Classifier Systems, 5th International Workshop, IWLCS 2002, Granada, Spain, September 7-8, 2002, Revised Papers
Springer 2003 |
30 | | Erick Cantú-Paz,
James A. Foster,
Kalyanmoy Deb,
Lawrence Davis,
Rajkumar Roy,
Una-May O'Reilly,
Hans-Georg Beyer,
Russell K. Standish,
Graham Kendall,
Stewart W. Wilson,
Mark Harman,
Joachim Wegener,
Dipankar Dasgupta,
Mitchell A. Potter,
Alan C. Schultz,
Kathryn A. Dowsland,
Natasa Jonoska,
Julian F. Miller:
Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part I
Springer 2003 |
29 | | Erick Cantú-Paz,
James A. Foster,
Kalyanmoy Deb,
Lawrence Davis,
Rajkumar Roy,
Una-May O'Reilly,
Hans-Georg Beyer,
Russell K. Standish,
Graham Kendall,
Stewart W. Wilson,
Mark Harman,
Joachim Wegener,
Dipankar Dasgupta,
Mitchell A. Potter,
Alan C. Schultz,
Kathryn A. Dowsland,
Natasa Jonoska,
Julian F. Miller:
Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part II
Springer 2003 |
28 | | Pier Luca Lanzi,
Wolfgang Stolzmann,
Stewart W. Wilson:
Editorial Introduction - Learning Classifier Systems.
Evolutionary Computation 11(3): (2003) |
2002 |
27 | | Pier Luca Lanzi,
Wolfgang Stolzmann,
Stewart W. Wilson:
Advances in Learning Classifier Systems, 4th International Workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001, Revised Papers
Springer 2002 |
26 | EE | John H. Holmes,
Pier Luca Lanzi,
Wolfgang Stolzmann,
Stewart W. Wilson:
Learning classifier systems: New models, successful applications.
Inf. Process. Lett. 82(1): 23-30 (2002) |
25 | | Stewart W. Wilson:
Classifiers that approximate functions.
Natural Computing 1(2-3): 211-234 (2002) |
24 | EE | Martin Butz,
Stewart W. Wilson:
An algorithmic description of XCS.
Soft Comput. 6(3-4): 144-153 (2002) |
2001 |
23 | | Pier Luca Lanzi,
Wolfgang Stolzmann,
Stewart W. Wilson:
Advances in Learning Classifier Systems, Third International Workshop, IWLCS 2000, Paris, France, September 15-16, 2000, Revised Papers
Springer 2001 |
22 | EE | Stewart W. Wilson:
Compact Rulesets from XCSI.
IWLCS 2001: 197-210 |
21 | EE | Lawrence Davis,
Chunsheng Fu,
Stewart W. Wilson:
An Incremental Multiplexer Problem and Its Uses in Classifier System Research.
IWLCS 2001: 23-31 |
2000 |
20 | | Pier Luca Lanzi,
Wolfgang Stolzmann,
Stewart W. Wilson:
Learning Classifier Systems, From Foundations to Applications
Springer 2000 |
19 | EE | Stewart W. Wilson:
Mining Oblique Data with XCS.
IWLCS 2000: 158-176 |
18 | EE | Martin Butz,
Stewart W. Wilson:
An Algorithmic Description of XCS.
IWLCS 2000: 253-272 |
17 | | Pier Luca Lanzi,
Stewart W. Wilson:
Toward Optimal Classifier System Performance in Non-Markov Environments.
Evolutionary Computation 8(4): 393-418 (2000) |
1999 |
16 | EE | Stewart W. Wilson:
Get Real! XCS with Continuous-Valued Inputs.
Learning Classifier Systems 1999: 209-222 |
15 | EE | John H. Holland,
Lashon B. Booker,
Marco Colombetti,
Marco Dorigo,
David E. Goldberg,
Stephanie Forrest,
Rick L. Riolo,
Robert E. Smith,
Pier Luca Lanzi,
Wolfgang Stolzmann,
Stewart W. Wilson:
What Is a Learning Classifier System?
Learning Classifier Systems 1999: 3-32 |
14 | EE | Stewart W. Wilson:
State of XCS Classifier System Research.
Learning Classifier Systems 1999: 63-82 |
1995 |
13 | | Stewart W. Wilson:
Classifier Fitness Based on Accuracy.
Evolutionary Computation 3(2): 149-175 (1995) |
1994 |
12 | | Stewart W. Wilson:
ZCS: A Zeroth Level Classifier System.
Evolutionary Computation 2(1): 1-18 (1994) |
1991 |
11 | | Stewart W. Wilson:
GA-Easy Does Not Imply Steepest-Ascent Optimizable.
ICGA 1991: 85-91 |
1990 |
10 | | Pierre Bonelli,
Alexandre Parodi,
Sandip Sen,
Stewart W. Wilson:
Newboole: A Fast GBML System.
ML 1990: 153-159 |
1989 |
9 | | Stewart W. Wilson,
David E. Goldberg:
A Critical Review of Classifier Systems.
ICGA 1989: 244-255 |
8 | | Stephen J. Smith,
Stewart W. Wilson:
Rosetta: Toward a Model of Learning Problems.
ICGA 1989: 347-350 |
1987 |
7 | | Stewart W. Wilson:
The Genetic Algorithm and Simulated Evolution.
ALIFE 1987: 157-166 |
6 | | Stewart W. Wilson:
The Genetic Algorithm and Biological Development.
ICGA 1987: 247-251 |
5 | | Stewart W. Wilson:
Hierarchical Credit Allocation in a Classifier System.
IJCAI 1987: 217-220 |
4 | | Stewart W. Wilson:
Classifier Systems and the Animat Problem.
Machine Learning 2(3): 199-228 (1987) |
1985 |
3 | | Stewart W. Wilson:
Knowledge Growth in an Artificial Animal.
ICGA 1985: 16-23 |
2 | | Stewart W. Wilson:
Adaptive 'Cortical' Pattern Recognition.
ICGA 1985: 188-196 |
1983 |
1 | | Stewart W. Wilson:
On the Retino-Cortical Mapping.
International Journal of Man-Machine Studies 18(4): 361-389 (1983) |