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Volumn 1, Issue , 2005, Pages 604-611

Class imbalance problem in UCS classifier system: Fitness adaptation

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; GENETIC ALGORITHMS; LEARNING SYSTEMS; LOGIC PROGRAMMING; PROBLEM SOLVING; SUPERVISORY AND EXECUTIVE PROGRAMS;

EID: 27144524459     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (38)

References (19)
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    • Bernadó, E.1
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    • Bernadó, E.1    Garrell, J.M.2
  • 4
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    • Domain of competence of XCS classifier system in complexity measurement space
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    • [BH05] Bernadó, E. and Ho, T. K. Domain of Competence of XCS Classifier System in Complexity Measurement Space. IEEE Transactions on Evolutionary Computation, 9(1):82-104, 2005.
    • (2005) IEEE Transactions on Evolutionary Computation , vol.9 , Issue.1 , pp. 82-104
    • Bernadó, E.1    Ho, T.K.2
  • 5
    • 84949196940 scopus 로고    scopus 로고
    • XCS and GALE: A comparative study of two learning classifier systems on data mining
    • [BLG02] Advances in Learning Classifier Systems, 4th International Workshop, Springer
    • [BLG02] Bernadó, E., Llorá, X., and Garrell, J. M. XCS and GALE: a Comparative Study of Two Learning Classifier Systems on Data Mining. In Advances in Learning Classifier Systems, 4th International Workshop, volume 2321 of Lecture Notes in Artificial Intelligence, pages 115-132. Springer, 2002.
    • (2002) Lecture Notes in Artificial Intelligence , vol.2321 , pp. 115-132
    • Bernadó, E.1    Llorá, X.2    Garrell, J.M.3
  • 6
    • 0003408496 scopus 로고    scopus 로고
    • [BM98] University of California, Irvine, Department of Information and Computer Sciences
    • [BM98] Blake, C.L. and Merz, C.J. UCI Repository of machine learning databases, [http://www.ics.uc.edu/mlearn/MLRepository.html]. University of California, Irvine, Department of Information and Computer Sciences, 1998.
    • (1998) UCI Repository of Machine Learning Databases
    • Blake, C.L.1    Merz, C.J.2
  • 7
    • 0042142969 scopus 로고    scopus 로고
    • Analyzing the evolutionary pressures in XCS
    • [BP01] San Francisco, CA: Morgan Kaufmann
    • [BP01] Butz, M.V. and Pelikan, M. Analyzing the Evolutionary Pressures in XCS. In Genetic and Evolutionary Computation Conference, pages 935-942. San Francisco, CA: Morgan Kaufmann, 2001.
    • (2001) Genetic and Evolutionary Computation Conference , pp. 935-942
    • Butz, M.V.1    Pelikan, M.2
  • 9
    • 84942854203 scopus 로고    scopus 로고
    • An algorithmic description of XCS
    • [BW01] Advances in Learning Classifier Systems: Proceedings of the Third International Workshop, Springer
    • [BW01] Butz, M.V. and Wilson, S.W. An algorithmic description of XCS. In Advances in Learning Classifier Systems: Proceedings of the Third International Workshop, volume 1996 of Lecture Notes in Artificial Intelligence, pages 253-272. Springer, 2001.
    • (2001) Lecture Notes in Artificial Intelligence , vol.1996 , pp. 253-272
    • Butz, M.V.1    Wilson, S.W.2
  • 11
    • 84947929903 scopus 로고    scopus 로고
    • A new bootstrapping method to improve classification performance in learning classifier systems
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    • [HDW00] Holmes, J.H., Durbin, D.R., and Winston, F.K. A New Bootstrapping Method to Improve Classification Performance in Learning Classifier Systems. In Parallel Problem Solving from Nature VI, pages 745-754, 2000.
    • (2000) Parallel Problem Solving from Nature VI , pp. 745-754
    • Holmes, J.H.1    Durbin, D.R.2    Winston, F.K.3
  • 13
    • 0011656690 scopus 로고
    • Adaptation
    • [Hol76] R. Rosen and F. Snell, editors, New York: Academic Press
    • [Hol76] Holland, J.H. Adaptation. In R. Rosen and F. Snell, editors, Progress in Theoretical Biology, volume 4, pages 263-293. New York: Academic Press, 1976.
    • (1976) Progress in Theoretical Biology , vol.4 , pp. 263-293
    • Holland, J.H.1
  • 14
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    • Differential negative reinforcement improves classifier system learning rate in two-class problems with unequal base rates
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    • [Hol98] Holmes, J.H. Differential negative reinforcement improves classifier system learning rate in two-class problems with unequal base rates. In Genetic Programming 1998: Proceedings of the Third Annual Conference, pages 635-642. Morgan Kaufmann, 1998.
    • (1998) Genetic Programming 1998: Proceedings of the Third Annual Conference , pp. 635-642
    • Holmes, J.H.1
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    • The class imbalance problem: A systematic study
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    • [JS02] Japkowicz, N. and Stephen, S. The Class Imbalance Problem: A Systematic Study. Intelligent Data Analisis, 6(5):429-450, November 2002.
    • (2002) Intelligent Data Analisis , vol.6 , Issue.5 , pp. 429-450
    • Japkowicz, N.1    Stephen, S.2
  • 18
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    • Classifier fitness based on accuracy
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    • [Wil95] Wilson, S.W. Classifier Fitness Based on Accuracy. Evolutionary Computation, 3(2): 149-175, 1995.
    • (1995) Evolutionary Computation , vol.3 , Issue.2 , pp. 149-175
    • Wilson, S.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.