Generalization in the XCSF Classifier System: Analysis, Improvement, and Extension
暂无分享,去创建一个
[1] Daniele Loiacono,et al. Extending XCSF beyond linear approximation , 2005, GECCO '05.
[2] M. F. Fuller,et al. Practical Nonparametric Statistics; Nonparametric Statistical Inference , 1973 .
[3] Stewart W. Wilson,et al. XCS with Computable Prediction in Multistep Environments , 2005 .
[4] Larry Bull,et al. Accuracy-based Neuro And Neuro-fuzzy Classifier Systems , 2002, GECCO.
[5] Pier Luca Lanzi,et al. An Analysis of Generalization in the XCS Classifier System , 1999, Evolutionary Computation.
[6] Daniele Loiacono,et al. XCS with computed prediction in multistep environments , 2005, GECCO '05.
[7] Martin V. Butz,et al. Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection , 2005, Genetic Programming and Evolvable Machines.
[8] Larry Bull,et al. Backpropagation in Accuracy-Based Neural Learning Classifier Systems , 2005, IWLCS.
[9] E GoldbergDavid,et al. Generalization in the XCSF Classifier System , 2007 .
[10] Bernard Widrow,et al. Adaptive switching circuits , 1988 .
[11] Larry Bull,et al. A Neural Learning Classifier System with Self-Adaptive Constructivism for Mobile Robot Control , 2006, Artificial Life.
[12] Richard S. Sutton,et al. Introduction to Reinforcement Learning , 1998 .
[13] Stewart W. Wilson. Generalization in the XCS Classifier System , 1998 .
[14] Daniele Loiacono,et al. Computed prediction in binary multistep problems , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[15] Stewart W. Wilson. Classifiers that approximate functions , 2002, Natural Computing.
[16] Stewart W. Wilson. Mining Oblique Data with XCS , 2000, IWLCS.
[17] Pier Luca Lanzi,et al. Mining interesting knowledge from data with the XCS classifier system , 2001 .
[18] Graham C. Goodwin,et al. Adaptive filtering prediction and control , 1984 .
[19] S. Glantz,et al. Primer of Applied Regression & Analysis of Variance , 1990 .
[20] Larry Bull,et al. A neural learning classifier system with self-adaptive constructivism , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[21] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[22] L. Baird. Reinforcement Learning Through Gradient Descent , 1999 .
[23] Stewart W. Wilson. Classifier Fitness Based on Accuracy , 1995, Evolutionary Computation.
[24] Peter Dayan,et al. Technical Note: Q-Learning , 2004, Machine Learning.
[25] Justin A. Boyan,et al. Least-Squares Temporal Difference Learning , 1999, ICML.
[26] Vidroha Debroy,et al. Genetic Programming , 1998, Lecture Notes in Computer Science.
[27] Stewart W. Wilson. Function approximation with a classifier system , 2001 .
[28] Daniele Loiacono,et al. XCS with computed prediction in continuous multistep environments , 2005, 2005 IEEE Congress on Evolutionary Computation.
[29] Larry Bull,et al. Prediction calculation in accuracy-based neural learning classifier systems , 2004 .
[30] Larry Bull,et al. Robotic experimentation using constructivism within a neural learning classifier system , 2003 .
[31] Stewart W. Wilson. Classifier Systems for Continuous Payoff Environments , 2004, GECCO.
[32] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[33] S. Haykin,et al. Adaptive Filter Theory , 1986 .
[34] William H. Press,et al. Numerical Recipes in C The Art of Scientific Computing , 1995 .
[35] Andrew G. Barto,et al. Linear Least-Squares Algorithms for Temporal Difference Learning , 2005, Machine Learning.
[36] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[37] Martin V. Butz,et al. Gradient Descent Methods in Learning Classifier Systems , 2004 .
[38] Martin V. Butz,et al. Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems , 2005, IEEE Transactions on Evolutionary Computation.
[39] Martin V. Butz,et al. Tournament Selection: Stable Fitness Pressure in XCS , 2003, GECCO.
[40] Daniele Loiacono,et al. XCS with computed prediction for the learning of Boolean functions , 2005, 2005 IEEE Congress on Evolutionary Computation.
[41] Martin J. Oates,et al. A Preliminary Investigation of Modified XCS as a Generic Data Mining Tool , 2001, IWLCS.
[42] Peter Dayan,et al. Q-learning , 1992, Machine Learning.
[43] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[44] Martin V. Butz,et al. An algorithmic description of XCS , 2000, Soft Comput..