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Volumn 3, Issue , 2004, Pages 2013-2016

Least squares support vector machine ensemble

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; KERNEL FUNCTION; SELECTIVE ENSEMBLE (SEN); SUPPORT VECTOR MACHINES (SVM);

EID: 10844225289     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2004.1380924     Document Type: Conference Paper
Times cited : (11)

References (12)
  • 2
    • 0036825528 scopus 로고    scopus 로고
    • Weighted least squares support vector machines: Robustness and spares approximation
    • J. A. K Suykens, J.De Brabanter, "Weighted least squares support vector machines: robustness and spares approximation", Neruocomputing, Vol.48, pp85-105,2002
    • (2002) Neruocomputing , vol.48 , pp. 85-105
    • Suykens, J.A.K.1    De Brabanter, J.2
  • 3
    • 0142025124 scopus 로고    scopus 로고
    • Construction support vector machine ensemble
    • Hyun-Chil Kim, "Construction support vector machine ensemble", Pattern Recognation, Vol.36, pp2757-2767, 2003
    • (2003) Pattern Recognation , vol.36 , pp. 2757-2767
    • Kim, H.-C.1
  • 4
    • 10844252614 scopus 로고    scopus 로고
    • Enesmbling neural network: Many could be better than all
    • Zhi-Hua Zhou, "Enesmbling neural network: Many could be better than all", Artifical intelligence, Vol.137, pp236-263,2002
    • (2002) Artifical Intelligence , vol.137 , pp. 236-263
    • Zhou, Z.-H.1
  • 5
    • 0025507176 scopus 로고
    • Neural network ensembel
    • L.Hansen, "Neural Network Ensembel", IEEE Trans PAMI,Vol.12, pp993-1001,1990
    • (1990) IEEE Trans PAMI , vol.12 , pp. 993-1001
    • Hansen, L.1
  • 6
    • 0030211964 scopus 로고    scopus 로고
    • Baging predictors
    • L.Breiman, "Baging predictors", Machine Learning, 24(2),pp123-140,1996
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 7
    • 84983110889 scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Barcelona, Spain, Springer, Berlin
    • Y. Freund, "A decision-theoretic generalization of on-line learning and an application to boosting", Proc. EuroCOLT-94, Barcelona, Spain, Springer, Berlin, pp. 23-37,1995
    • (1995) Proc. EuroCOLT-94 , pp. 23-37
    • Freund, Y.1
  • 9
    • 10844221090 scopus 로고    scopus 로고
    • Soft margins for adaboost
    • G.Ratsch, "Soft Margins for Adaboost", Machine Learning, pp1-35,2000
    • (2000) Machine Learning , pp. 1-35
    • Ratsch, G.1
  • 10
    • 0003408496 scopus 로고    scopus 로고
    • Department of Information and Computer Science, University of California, Irvine, CA
    • C. Blake, UCI repository of machine learning databases, Department of Information and Computer Science, University of California, Irvine, CA, http://www.ics.uci.edu/~mlearn/MLRepository.html
    • UCI Repository of Machine Learning Databases
    • Blake, C.1
  • 12
    • 0032712063 scopus 로고    scopus 로고
    • Linear and nonlinear feedforward neural network classifiers: A comprehensive understanding
    • D.S.Huang and S.D.Ma, "Linear and nonlinear feedforward neural network classifiers: A comprehensive understanding, " Journal of Intelligent Systems, Vol.9, No.1, pp1-38,1999.
    • (1999) Journal of Intelligent Systems , vol.9 , Issue.1 , pp. 1-38
    • Huang, D.S.1    Ma, S.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.