| Learning
Classifier Systems and Other Genetics-Based Machine Learning: Papers
Smart
Crossover Operator with Multiple Parents for a Pittsburgh Learning Classifier
System
(Page 1441)
J. Bacardit, N. Krasnogor (University of Nottingham)
Studying
XCS/BOA Learning in Boolean Functions: Structure Encoding and Random
Boolean Functions
(Page 1449)
M. V. Butz (University of Würzburg)
M. Pelikan (University of Missouri-St. Louis)
Hyper-ellipsoidal
Conditions In XCS: Rotation, Linear Approximation, and Solution Structure
(Page 1457)
M. V. Butz (University of Würzburg)
P. L. Lanzi (Politecnico di Milano)
S. W. Wilson (Prediction Dynamics)
On
Semi-Supervised Clustering via Multiobjective Optimization
(Page 1465)
J. Handl, J. Knowles (University of Manchester)
Evolving
Ensemble of Classifiers in Random Subspace
(Page 1473)
A. H.-R. Ko, R. Sabourin, A. de Souza Britto, Jr. (Pontifical
Catholic University of Parana)
Using
Convex Hulls to Represent Classifier Conditions
(Page 1481)
P. L. Lanzi, S. W. Wilson (University of Illinois
at Urbana-Champaign)
Standard
and Averaging Reinforcement Learning in XCS
(Page 1489)
P. L. Lanzi (University of Illinois at Urbana-Champaign)
D. Loiacono (Politecnico di Milano)
Classifier
Prediction based on Tile Coding
(Page 1497)
P. L. Lanzi, D. Loiacono (Politecnico di Milano)
S. W. Wilson (Prediction Dynamics)
D. E. Goldberg (University of Illinois at Urbana-Champaign)
Prediction
Update Algorithms for XCSF: RLS, Kalman Filter, and Gain Adaptation
(Page 1505)
P. L. Lanzi (Politecnico di Milano, University of
Illinois at Urbana-Champaign)
D. Loiacono (Politecnico di Milano, University of
Illinois at Urbana-Champaign)
S. W. Wilson (University of Illinois at Urbana-Champaign,
Prediction Dynamics)
D. E. Goldberg (University of Illinois at Urbana Champaign)
Fast
Rule Matching for Learning Classifier Systems via Vector Instructions
(Page 1513)
X. Llorà, K. Sastry (University of Illinois at Urbana-Champaign)
Multi-Step
Environment Learning Classifier Systems Applied to Hyper-Heuristics
(Page 1521)
J. G. Marín-Blázquez (Universidad de Murcia)
S. Schulenburg (Edinburgh University)
A
Representational Ecology for Learning Classifier Systems
(Page 1529)
J. A. R. Marshall , T. Kovacs (University of Bristol)
A
Bayesian Approach to Learning Classifier Systems in Uncertain Environments
(Page 1537)
D. Aliprandi, A. Mancastroppa, M. Matteucci, A. Bonarini
(Politecnico di Milano)
Information
Preserving Multi-Objective Feature Selection for Unsupervised Learning
(Page 1545)
I. Mierswa, M. Wurst (University of Dortmund)
Evolutionary
Learning with Kernels: A Generic Solution for Large Margin Problems
(Page 1553)
I. Mierswa (University of Dortmund)
Bounding
XCS's Parameters for Unbalanced Datasets
(Page 1561)
A. Orriols-Puig, E. Bernadó-Mansilla (Universitat
Ramon Llull)
Analysis
of the Difficulty of Learning Goal-Scoring Behaviour for Robot Soccer
(Page 1569)
J. Riley, V . Ciesielski (RMIT University)
On-Line
Evolutionary Computation for Reinforcement Learning in Stochastic Domains
(Page 1577)
S. Whiteson, P. Stone (University of Texas at Austin)
Learning
Classifier Systems and Other Genetics-Based Machine Learning: Posters
Ensemble
Selection for Evolutionary Learning using Information Theory and Price's
Theorem (Page 1587)
S. W. Card, C. K. Mohan (Syracuse University)
FTXI:
Fault Tolerance XCS in Integer
(Page 1589)
H.-W. Chen, Y.-P. Chen (National Chiao Tung University)
Multiobjective
Genetic Rule Selection as a Data Mining Postprocessing Procedure
(Page 1591)
H. Ishibuchi, Y. Nojima, I. Kuwajima (Osaka Prefecture
University)
Estimating
Photometric Redshifts with Genetic Algorithms
(Page 1593)
N. Miles, A. Freitas, S. Serjeant (University of Kent)
An
Anticipatory Approach to Improve XCSF
(Page 1595)
A. Nikanjam, A. Rahmani (Iran University of Science
and Technology)
An
Open-set Speaker Identification System using Genetic Learning Classifier
System (Page 1597)
W.K. Park , J. C. Oh (Syracuse University)
M. K. Blowers (AFRL/IFEC)
M. B. Wolf (Syracuse University)
Evolving
Cooperative Behavior in a Power Market
(Page 1599)
D. Srinivasan, D. Woo, L. Rachmawati (National University
of Singapore)
K. W. Lye (Singapore Institute of Manufacturing Technology)
Sets
of Receiver Operating Characteristic Curves and their Use in the Evaluation
of Multi-Class Classification
(Page 1601)
S. M. Winkler , M. Affenzeller, S. Wagner (Upper Austrian
University of Applied Sciences)
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