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Volumn 4399 LNAI, Issue , 2007, Pages 93-103

LCSE: Learning classifier system ensemble for incremental medical instances

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER ARCHITECTURE; DATA ACQUISITION; GENETIC ALGORITHMS;

EID: 38049153239     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-71231-2_7     Document Type: Conference Paper
Times cited : (6)

References (14)
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    • An Efficient Classifier System and Its Experimental Comparison with Two Representative Learning Methods on Three Medical Domains
    • R.K. Belew and L.B. Booker, editors, San Mateo, CA:Morgan Kaufmann
    • P. Bonelli, A. Parodi, An Efficient Classifier System and Its Experimental Comparison with Two Representative Learning Methods on Three Medical Domains. In R.K. Belew and L.B. Booker, editors, Proceedings of the fourth international conference on Genetic algorithms(ICGA-4), pages 288-295. San Mateo, CA:Morgan Kaufmann, 1991.
    • (1991) Proceedings of the fourth international conference on Genetic algorithms(ICGA-4) , pp. 288-295
    • Bonelli, P.1    Parodi, A.2
  • 2
    • 38049098394 scopus 로고    scopus 로고
    • John H. Holmes, Learning Classifier Systems Applied to Knowledge Discovery in Clinical Research Databases. In: Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson, editors, Learning Classifier Systems. From Foundations to Applications. LNAI 1813, pages 243-261, Springer-Verlag, Berlin, 2000.
    • John H. Holmes, Learning Classifier Systems Applied to Knowledge Discovery in Clinical Research Databases. In: Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson, editors, Learning Classifier Systems. From Foundations to Applications. LNAI 1813, pages 243-261, Springer-Verlag, Berlin, 2000.
  • 3
    • 84942898678 scopus 로고    scopus 로고
    • John H. Holmes, Applying a Learning Classifier System to Mining Explanatory and Predictive Models from a Large Database. In: Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson, editors, Advances in Learning Classifier Systems. LNAI 1996, pages 103-113, Springer-Verlag, Berlin, 2001.
    • John H. Holmes, Applying a Learning Classifier System to Mining Explanatory and Predictive Models from a Large Database. In: Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson, editors, Advances in Learning Classifier Systems. LNAI 1996, pages 103-113, Springer-Verlag, Berlin, 2001.
  • 4
    • 38049105465 scopus 로고    scopus 로고
    • Stewart W. Wilson. Get Real! XCS with continous-valued inputs. In P. L. Lanzi, W. Stolzmann and S. W. Wilson(eds.), Learning Classifier Systems. From Foundations to Applications. LNAI 1813, pages 209-219, Springer-Verlag, Berlin, 2000.
    • Stewart W. Wilson. Get Real! XCS with continous-valued inputs. In P. L. Lanzi, W. Stolzmann and S. W. Wilson(eds.), Learning Classifier Systems. From Foundations to Applications. LNAI 1813, pages 209-219, Springer-Verlag, Berlin, 2000.
  • 5
    • 84942897286 scopus 로고    scopus 로고
    • Stewart W. Wilson, Mining Obilque Data with XCS. In: Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson, editors, Advances in Learning Classifier Systems. LNAI 1996, pages 158-174, Springer-Verlag, Berlin, 2001.
    • Stewart W. Wilson, Mining Obilque Data with XCS. In: Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson, editors, Advances in Learning Classifier Systems. LNAI 1996, pages 158-174, Springer-Verlag, Berlin, 2001.
  • 6
    • 84949196940 scopus 로고    scopus 로고
    • Ester Bernadó, Xavier Llorà, Josep M. Garrell, XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining. In: Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson, editors, Advances in Learning Classifier Systems. LNAI 2321, pages 115-132, Springer-Verlag, Berlin, 2002.
    • Ester Bernadó, Xavier Llorà, Josep M. Garrell, XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining. In: Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson, editors, Advances in Learning Classifier Systems. LNAI 2321, pages 115-132, Springer-Verlag, Berlin, 2002.
  • 7
    • 38049153299 scopus 로고    scopus 로고
    • Jaume Bacardit, Martin V. Butz, Data Mining in Learning Classifier Systems: Comparing XCS with GAssist, in this
    • Jaume Bacardit, Martin V. Butz, Data Mining in Learning Classifier Systems: Comparing XCS with GAssist, in this volume.
  • 8
    • 0042434885 scopus 로고    scopus 로고
    • Ensemble Learning
    • In The, Second edition, Cambridge, MA: The MIT Press
    • Dietterich, T. G. Ensemble Learning. In The Handbook of Brain Theory and Neural Networks, Second edition, Cambridge, MA: The MIT Press, 405-408, 2002.
    • (2002) Handbook of Brain Theory and Neural Networks , pp. 405-408
    • Dietterich, T.G.1
  • 9
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    • Bagging Predictors
    • Leo Breiman, Bagging Predictors, Machine Learning, Vol.24, No.2, pp.123-140, 1996.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 10
    • 0036567392 scopus 로고    scopus 로고
    • Ensembling neural networks: Many could be better than all
    • Z.-H. Zhou, J. Wu, and W. Tang. Ensembling neural networks: many could be better than all. Artificial Intelligence, 137(1-2): 239-263, 2002.
    • (2002) Artificial Intelligence , vol.137 , Issue.1-2 , pp. 239-263
    • Zhou, Z.-H.1    Wu, J.2    Tang, W.3
  • 13
    • 0032645080 scopus 로고    scopus 로고
    • An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
    • E. Bauer, R. Kohavi, An empirical comparison of voting classification algorithms: Bagging, boosting, and variants. Machine Learning, 36(1-2), 105-139, 1999.
    • (1999) Machine Learning , vol.36 , Issue.1-2 , pp. 105-139
    • Bauer, E.1    Kohavi, R.2
  • 14
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    • at, Dec
    • http://www.cs.waikato.ac.nz/ ml/weka/, Last visit at 22, Dec., 2004.
    • (2004) Last visit , pp. 22


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