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Abstract: The classifier system XCS was investigated for data mining applications where the dataset discrimination surface (DS) is generally oblique to the attribute axes. Despite the classifiers' hyper-rectangular predicates, XCS reached 100% performance on synthetic problems with diagonal DS's and, in a train/test experiment, competitive performance on the Wisconsin Breast Cancer dataset. Final classifiers in an extended WBC learning run were interpretable to suggest dependencies on one or a few... (Update)
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BibTeX entry: (Update)
Wilson, S. (2001) Mining Oblique Data with XCS. In Lanzi, P. L., Stolzmann, W., and Wilson, S. W., eds. Advances in Learning Classifier Systems. Third International Workshop(IWLCS-2000), (LNAI-1996) Berlin: Springer-Verlag. http://citeseer.ist.psu.edu/article/wilson00mining.html More
@article{ wilson01mining,
author = "Stewart W. Wilson",
title = "Mining Oblique Data with {XCS}",
journal = "Lecture Notes in Computer Science",
volume = "1996",
pages = "158--??",
year = "2001",
url = "citeseer.ist.psu.edu/article/wilson00mining.html" }
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614 Reinforcement Learning: An Introduction - Sutton, Barto - 1998
262 Data Mining: Practical Machine Learning Tools and Techniques.. (context) - Witten, Frank - 2000
105 The monk's problems: A performance comparison of different l.. - Thrun - 1991
85 Classifier fitness based on accuracy - Wilson - 1995
53 Multisurface method of pattern separation for medical diagno.. (context) - Wolberg, Mangasarian - 1990
45 ZCS: A zeroth level classifier system - Wilson - 1994
27 Generalization in the XCS classifier system - Wilson - 1998
10 XCS and the Monk's Problems - Saxon, Barry - 2000
8 Extending the representation of classifier conditions (context) - Lanzi - 1999
5 XCS with Continuous-Valued Inputs (context) - Wilson - 2000
5 State of XCS Classifier System Research - Wilson - 2000
4 Learning Classifier Systems: From Foundations to Application.. (context) - Lanzi, Stolzmann et al. - 2000
The graph only includes citing articles where the year of publication is known.
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