Adaptive filter theory
Neurocomputing: foundations of research
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming II: automatic discovery of reusable programs
Genetic programming II: automatic discovery of reusable programs
Linear least-squares algorithms for temporal difference learning
Machine Learning - Special issue on reinforcement learning
Numerical Recipes in C++: the art of scientific computing
Numerical Recipes in C++: the art of scientific computing
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Classifiers that approximate functions
Natural Computing: an international journal
Least-Squares Temporal Difference Learning
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
GNU Scientific Library Reference Manual - 2nd Edition
GNU Scientific Library Reference Manual - 2nd Edition
Classifier fitness based on accuracy
Evolutionary Computation
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Using convex hulls to represent classifier conditions
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Classifier prediction based on tile coding
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Genetic Programming and Evolvable Machines
Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension
Evolutionary Computation
Support vector regression for classifier prediction
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Recursive least squares and quadratic prediction in continuous multistep problems
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Evolving prediction weights using evolution strategy
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Context-dependent predictions and cognitive arm control with XCSF
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Hierarchical evolution of linear regressors
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Learning Classifier Systems: Looking Back and Glimpsing Ahead
Learning Classifier Systems
Analysis and Improvements of the Classifier Error Estimate in XCSF
Learning Classifier Systems
Evolving Classifiers Ensembles with Heterogeneous Predictors
Learning Classifier Systems
Effect of pure error-based fitness in XCS
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Three architectures for continuous action
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
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XCSF is the extension of XCS in which classifier prediction is computed as a linear combination of classifier inputs and a weight vector associated to each classifier. XCSF can exploit classifiers' computable prediction to evolve accurate piecewise linear approximations of functions. In this paper, we take XCSF one step further and show how XCSF can be easily extended to allow polynomial approximations. We test the extended version of XCSF on various approximation problems and show that quadratic/cubic approximations can be used to significantly improve XCSF's generalization capabilities.