摘要: The classifier system XCS was investigated for data mining applications where the dataset discrimination surface (DS) is generally oblique to attribute axes. Despite classifiers' hyper-rectangular predicates, reached 100% performance on synthetic problems with diagonal DS's and, in a train/test experiment, competitive Wisconsin Breast Cancer dataset. Final classifiers an extended WBC learning run were interpretable suggest dependencies one or few attributes. For of numeric datasets partially surfaces, shows promise from both and pattern discovery viewpoints.
springer.com
sci-hub.st 参考文章(16)
Perrucci Alessandro, Luca Lanzi Pier, Extending the Representation of Classifier Conditions Part II: From Messy Coding to S-Expressions genetic and evolutionary computation conference. pp. 345- 352 ,(1999)
Tim Kovacs, Deletion schemes for classifier systems genetic and evolutionary computation conference. pp. 329- 336 ,(1999)
Damien Ernst, Arthur Louette, Introduction to Reinforcement Learning MIT Press. ,(1998)
Stewart W. Wilson, State of XCS Classifier System Research Lecture Notes in Computer Science. pp. 63- 82 ,(2000) , 10.1007/3-540-45027-0_3
Peter W. Pachowicz, Scott E. Fahlman, Ivan Bratko, Haleh Vafaie, Saso Dzeroski, Igor Kononenko, Bojan Cestnik, Janusz Wnek, Jerzy W. Bala, Sebastian B. Thrun, Kenneth A. De Jong, Kenneth A. Kaufman, Douglas H. Fisher, John Cheng, Eric Bloedorn, Juergen S. Kreuziger, Walter Van de Welde, Tom A. Mitchell, Ryszard S. Michalski, Jianping Zhang, Walter Wenzel, Rainer Hamann, Stefan Keller, The MONK's problems: A Performance Comparison of Different Learning Algorithms ,(1991)
John H. Holmes, Discovering Risk of Disease with a Learning Classifier System. ICGA. pp. 426- 433 ,(1997)
Tim Kovacs, XCS Classifier System Reliably Evolves Accurate, Complete, and Minimal Representations for Boolean Functions Soft Computing in Engineering Design and Manufacturing. pp. 59- 68 ,(1998) , 10.1007/978-1-4471-0427-8_7
W. H. Wolberg, O. L. Mangasarian, Multisurface Method of Pattern Separation for Medical Diagnosis Applied to Breast Cytology Proceedings of the National Academy of Sciences of the United States of America. ,vol. 87, pp. 9193- 9196 ,(1990) , 10.1073/PNAS.87.23.9193
Stewart W. Wilson, Classifier fitness based on accuracy Evolutionary Computation. ,vol. 3, pp. 149- 175 ,(1995) , 10.1162/EVCO.1995.3.2.149
Stewart W. Wilson, Zcs: A zeroth level classifier system Evolutionary Computation. ,vol. 2, pp. 1- 18 ,(1994) , 10.1162/EVCO.1994.2.1.1