메뉴 건너뛰기




Volumn 1, Issue , 2006, Pages 791-798

Improving cooperative GP ensemble with clustering and pruning for pattern classification

Author keywords

Classification; Data Mining; Ensemble; Genetic Programming

Indexed keywords

ALGORITHMS; DATA MINING; PATTERN RECOGNITION; TREES (MATHEMATICS);

EID: 33750253047     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1143997.1144139     Document Type: Conference Paper
Times cited : (6)

References (27)
  • 4
    • 0032645080 scopus 로고    scopus 로고
    • An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
    • Eric Bauer and Ron Kohavi. An empirical comparison of voting classification algorithms: Bagging, boosting, and variants. Machine Learning, (36):105-139, 1999.
    • (1999) Machine Learning , Issue.36 , pp. 105-139
    • Bauer, E.1    Kohavi, R.2
  • 5
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Leo Breiman. Bagging predictors. Machine Learning, 24(2):123-140, 1996.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 6
    • 0346786584 scopus 로고    scopus 로고
    • Arcing classifiers
    • Leo Breiman. Arcing classifiers. Annals of Statistics, 26:801-824, 1998.
    • (1998) Annals of Statistics , vol.26 , pp. 801-824
    • Breiman, L.1
  • 8
    • 84944320674 scopus 로고    scopus 로고
    • Advanced population diversity measures in genetic programming
    • number 2439 in Lecture Notes in Computer Science, LNCS, page 341 ff., Granada, Spain, Springer-Verlag
    • Edmund Burke, Steven Gustafson, Graham Kendall, and Natalio Krasnogor. Advanced population diversity measures in genetic programming. In Parallel Problem Solving from Nature - PPSN VII, number 2439 in Lecture Notes in Computer Science, LNCS, page 341 ff., Granada, Spain, 2002. Springer-Verlag.
    • (2002) Parallel Problem Solving from Nature - PPSN VII
    • Burke, E.1    Gustafson, S.2    Kendall, G.3    Krasnogor, N.4
  • 9
    • 0037297883 scopus 로고    scopus 로고
    • Inducing oblique decision trees with evolutionary algorithms
    • February
    • E. Cantú-Paz and C. Kamath. Inducing oblique decision trees with evolutionary algorithms. IEEE Transaction on Evolutionary Computation, 7(1):54-68, February 2003.
    • (2003) IEEE Transaction on Evolutionary Computation , vol.7 , Issue.1 , pp. 54-68
    • Cantú-Paz, E.1    Kamath, C.2
  • 11
    • 0034250160 scopus 로고    scopus 로고
    • An experimental comparison of three methods for costructing ensembles of decision trees: Bagging, boosting, and randomization
    • Thomas G. Dietterich. An experimental comparison of three methods for costructing ensembles of decision trees: Bagging, boosting, and randomization. Machine Learning, (40):139-157, 2000.
    • (2000) Machine Learning , Issue.40 , pp. 139-157
    • Dietterich, T.G.1
  • 15
    • 35248883827 scopus 로고    scopus 로고
    • Ensemble techniques for parallel genetic programming based classifiers
    • E. Costa C. Ryan, T. Soule, M. Keijzer, E. Tsang, R. Poli, editor, Proceedings of the Sixth European Conference on Genetic Programming (EuroGP-2003), Essex, UK, Springer Verlag
    • G. Folino, C. Pizzuti, and G. Spezzano. Ensemble techniques for parallel genetic programming based classifiers. In E. Costa C. Ryan, T. Soule, M. Keijzer, E. Tsang, R. Poli, editor, Proceedings of the Sixth European Conference on Genetic Programming (EuroGP-2003), volume 2610 of LNCS, pages 59-69, Essex, UK, 2003. Springer Verlag.
    • (2003) LNCS , vol.2610 , pp. 59-69
    • Folino, G.1    Pizzuti, C.2    Spezzano, G.3
  • 17
    • 35048860467 scopus 로고    scopus 로고
    • Boosting technique for combining cellular gp classifiers
    • M. Keijzer, U. O'Reilly, S.M: Lucas, E. Costa, and T. Soule, editors, Proceedings of the Seventh European Conference on Genetic Programming (EuroGP-2004), Coimbra, Portugal, Springer Verlag
    • G. Folino, C. Pizzuti, and G. Spezzano. Boosting technique for combining cellular gp classifiers. In M. Keijzer, U. O'Reilly, S.M: Lucas, E. Costa, and T. Soule, editors, Proceedings of the Seventh European Conference on Genetic Programming (EuroGP-2004), volume 3003 of LNCS, pages 47-56, Coimbra, Portugal, 2004. Springer Verlag.
    • (2004) LNCS , vol.3003 , pp. 47-56
    • Folino, G.1    Pizzuti, C.2    Spezzano, G.3
  • 19
    • 0001501920 scopus 로고    scopus 로고
    • Bagging, boosting, and bloating in genetic programming
    • Orlando, Florida, July Morgan Kaufmann
    • Hitoshi Iba. Bagging, boosting, and bloating in genetic programming. In Proc. Of the Genetic and Evolutionary Computation Conference GECCO99, pages 1053-1060, Orlando, Florida, July 1999. Morgan Kaufmann.
    • (1999) Proc. of the Genetic and Evolutionary Computation Conference GECCO99 , pp. 1053-1060
    • Iba, H.1
  • 21
    • 0037403516 scopus 로고    scopus 로고
    • Diversity measures in classifier ensembles
    • L.I. Kuncheva and C.J. Whitaker. Diversity measures in classifier ensembles. Machine Learning, (51):181-207, 2003.
    • (2003) Machine Learning , Issue.51 , pp. 181-207
    • Kuncheva, L.I.1    Whitaker, C.J.2
  • 24
    • 0003256459 scopus 로고    scopus 로고
    • Diffusion (cellular) models
    • David B. Fogel Thomas Back and Zbigniew Michalewicz, editors, pages C6.4:1-6. Institute of Physics Publishing and Oxford University Press, Bristol, New York
    • G.G. Pettey. Diffusion (cellular) models. In David B. Fogel Thomas Back and Zbigniew Michalewicz, editors, Handbook of Evolutionary Computation, pages C6.4:1-6. Institute of Physics Publishing and Oxford University Press, Bristol, New York, 1997.
    • (1997) Handbook of Evolutionary Computation
    • Pettey, G.G.1
  • 25
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • R. E. Schapire. The strength of weak learnability. Machine Learning, 5(2):197-227, 1990.
    • (1990) Machine Learning , vol.5 , Issue.2 , pp. 197-227
    • Schapire, R.E.1
  • 26
    • 0002978642 scopus 로고    scopus 로고
    • Boosting a weak learning by maiority
    • R. E. Schapire. Boosting a weak learning by maiority. Information and Computation, 121(2):256-285, 1996.
    • (1996) Information and Computation , vol.121 , Issue.2 , pp. 256-285
    • Schapire, R.E.1
  • 27
    • 3543091982 scopus 로고    scopus 로고
    • Voting teams: A cooperative approach to non-typical problems using genetic programming
    • Orlando, Florida, July Morgan Kaufmann
    • Terence Soule. Voting teams: A cooperative approach to non-typical problems using genetic programming. In Proc. Of the Genetic and Evolutionary Computation Conference GECCO99, pages 916-922, Orlando, Florida, July 1999. Morgan Kaufmann.
    • (1999) Proc. of the Genetic and Evolutionary Computation Conference GECCO99 , pp. 916-922
    • Soule, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.