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Volumn 4399 LNAI, Issue , 2007, Pages 282-290

Data mining in learning classifier systems: Comparing XCS with GAssist

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; DATA STRUCTURES; PROBLEM SOLVING;

EID: 38049134672     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-71231-2_19     Document Type: Conference Paper
Times cited : (46)

References (12)
  • 1
    • 35048858265 scopus 로고    scopus 로고
    • Analysis and improvements of the adaptive discretization intervals knowledge representation
    • GECCO 2004: Proceedings of the Genetic and Evolutionary Computation Conference, Springer-Verlag
    • J. Bacardit and J. M. Garrell. Analysis and improvements of the adaptive discretization intervals knowledge representation. In GECCO 2004: Proceedings of the Genetic and Evolutionary Computation Conference, pages 726-738. Springer-Verlag, LNCS 3103, 2004.
    • (2004) LNCS , vol.3103 , pp. 726-738
    • Bacardit, J.1    Garrell, J.M.2
  • 3
    • 35048882445 scopus 로고    scopus 로고
    • Bloat control and generalization pressure using the minimum description length principle for a Pittsburgh approach learning classifier system
    • Proceedings of the 6th International Workshop on Learning Classifier Systems, in press, Springer
    • Jaume Bacardit and Josep M. Garrell. Bloat control and generalization pressure using the minimum description length principle for a Pittsburgh approach learning classifier system. In Proceedings of the 6th International Workshop on Learning Classifier Systems, (in press), LNAI, Springer, 2003.
    • (2003) LNAI
    • Bacardit, J.1    Garrell, J.M.2
  • 5
    • 1542293643 scopus 로고    scopus 로고
    • XCS and GALE: A comparative study of two learning classifier systems with six other learning algorithms on classification tasks
    • Ester Bernadó, Xavier Llorà, and Josep M. Garrell. XCS and GALE: a comparative study of two learning classifier systems with six other learning algorithms on classification tasks. In Fourth International Workshop on Learning Classifier Systems - IWLCS-2001, pages 337-341, 2001.
    • (2001) Fourth International Workshop on Learning Classifier Systems - IWLCS-2001 , pp. 337-341
    • Bernadó, E.1    Llorà, X.2    Garrell, J.M.3
  • 7
    • 33750739321 scopus 로고    scopus 로고
    • Rule-Based Evolutionary Online Learning Systems: A Principled Approach to LCS Analysis and Design
    • Springer-Verlag, Berlin Heidelberg
    • M. V. Butz. Rule-Based Evolutionary Online Learning Systems: A Principled Approach to LCS Analysis and Design. Studies in Fuzziness and Soft Computing. Springer-Verlag, Berlin Heidelberg, 2005.
    • (2005) Studies in Fuzziness and Soft Computing
    • Butz, M.V.1
  • 9
    • 0027696338 scopus 로고
    • Using genetic algorithms for concept learning
    • Kenneth A. DeJong, William M. Spears, and Diana F. Gordon. Using genetic algorithms for concept learning. Machine Learning, 13(2/3): 161-188, 1993.
    • (1993) Machine Learning , vol.13 , Issue.2-3 , pp. 161-188
    • DeJong, K.A.1    Spears, W.M.2    Gordon, D.F.3
  • 11
    • 0001387704 scopus 로고
    • Classifier fitness based on accuracy
    • Stewart W. Wilson. 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
  • 12
    • 38049121193 scopus 로고    scopus 로고
    • Stewart W. Wilson. Get real! XCS with continuous-valued inputs. In L. Booker, Stephanie Forrest, M. Mitchell, and Rick L. Riolo, editors, Festschrift in Honor of John H. Holland, pages 111-121. Center for the Study of Complex Systems, 1999.
    • Stewart W. Wilson. Get real! XCS with continuous-valued inputs. In L. Booker, Stephanie Forrest, M. Mitchell, and Rick L. Riolo, editors, Festschrift in Honor of John H. Holland, pages 111-121. Center for the Study of Complex Systems, 1999.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.