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Volumn , Issue , 2010, Pages

Negative correlation learning for classification ensembles

Author keywords

[No Author keywords available]

Indexed keywords

PROBLEM SOLVING;

EID: 79959396934     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2010.5596702     Document Type: Conference Paper
Times cited : (89)

References (34)
  • 1
    • 0033280266 scopus 로고    scopus 로고
    • Simultaneous training of negatively correlated neural networks in an ensemble
    • Y. Liu and X. Yao, "Simultaneous training of negatively correlated neural networks in an ensemble," IEEE Transactions on Systems, Man and Cybernetics, PartB: Cybernetics, vol. 29, no. 6, pp. 716-725, 1999.
    • (1999) IEEE Transactions on Systems, Man and Cybernetics, PartB: Cybernetics , vol.29 , Issue.6 , pp. 716-725
    • Liu, Y.1    Yao, X.2
  • 2
    • 17444369339 scopus 로고    scopus 로고
    • A preliminary study on negative correlation learning via correlation-corrected data
    • Z. S. H. Chan and N. Kasabov, "A preliminary study on negative correlation learning via correlation-corrected data," Neural Processing Letters, vol. 21, no. 3, pp. 207-214, 2005.
    • (2005) Neural Processing Letters , vol.21 , Issue.3 , pp. 207-214
    • Chan, Z.S.H.1    Kasabov, N.2
  • 6
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. 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
  • 12
    • 4344706336 scopus 로고    scopus 로고
    • Multistrategy ensemble learning: Reducing error by combining ensemble learning techniques
    • Z. Zheng, "Multistrategy ensemble learning: Reducing error by combining ensemble learning techniques," IEEE Trans. on Knowl. and Data Eng., vol. 16, no. 8, pp. 980-991, 2004.
    • (2004) IEEE Trans. on Knowl. and Data Eng. , vol.16 , Issue.8 , pp. 980-991
    • Zheng, Z.1
  • 13
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Y. Freund and R. E. Schapire, "A decision-theoretic generalization of on-line learning and an application to boosting," Journal of Computer and System Sciences, vol. 55, pp. 119-139, 1997.
    • (1997) Journal of Computer and System Sciences , vol.55 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 14
    • 33645760206 scopus 로고    scopus 로고
    • An investigation into how adaboost affects classier diversity
    • C. A. Shipp and L. I. Kuncheva, "An investigation into how adaboost affects classier diversity," in IPMU, 2002, pp. 203-208.
    • (2002) IPMU , pp. 203-208
    • Shipp, C.A.1    Kuncheva, L.I.2
  • 15
    • 0026692226 scopus 로고
    • Stacked generalization
    • D. H. Wolpert, "Stacked generalization," Neural Networks, vol. 5, no. 2, pp. 241 - 259, 1992.
    • (1992) Neural Networks , vol.5 , Issue.2 , pp. 241-259
    • Wolpert, D.H.1
  • 19
    • 34247205823 scopus 로고    scopus 로고
    • Multi-class learning by smoothed boosting
    • R. Jin and J. Zhang, "Multi-class learning by smoothed boosting," Machine Learning, vol. 67, no. 3, pp. 207-227, 2007.
    • (2007) Machine Learning , vol.67 , Issue.3 , pp. 207-227
    • Jin, R.1    Zhang, J.2
  • 22
    • 0037403516 scopus 로고    scopus 로고
    • Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
    • L. I. Kuncheva and C. J. Whitaker, "Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy," Machine Learning, vol. 51, pp. 181-207, 2003.
    • (2003) Machine Learning , vol.51 , pp. 181-207
    • Kuncheva, L.I.1    Whitaker, C.J.2
  • 23
    • 33749018252 scopus 로고    scopus 로고
    • An analysis of diversity measures
    • E. K. Tang, P. N. Suganthan, and X.Yao, "An analysis of diversity measures," Machine Learning, vol. 65, pp. 247-271, 2006.
    • (2006) Machine Learning , vol.65 , pp. 247-271
    • Tang, E.K.1    Suganthan, P.N.2    Yao, X.3
  • 25
    • 10444221886 scopus 로고    scopus 로고
    • Diversity creation methods: A survey and categorisation
    • G. Brown, J. Wyatt, R. Harris, and X. Yao, "Diversity creation methods: a survey and categorisation," Information Fusion, vol. 6, no. 1, pp. 5-20, 2004.
    • (2004) Information Fusion , vol.6 , Issue.1 , pp. 5-20
    • Brown, G.1    Wyatt, J.2    Harris, R.3    Yao, X.4
  • 26
    • 72149122081 scopus 로고    scopus 로고
    • Regularized negative correlation learning for neural network ensembles
    • H. Chen and X. Yao, "Regularized negative correlation learning for neural network ensembles," IEEE Transactions on Neural Networks, vol. 20, no. 12, pp. 1962-1979, 2009.
    • (2009) IEEE Transactions on Neural Networks , vol.20 , Issue.12 , pp. 1962-1979
    • Chen, H.1    Yao, X.2
  • 27
    • 78149249078 scopus 로고    scopus 로고
    • Multi-objective neural network ensembles based on regularized negative correlation learning
    • -, "Multi-objective neural network ensembles based on regularized negative correlation learning," IEEE Transactions on Knowledge and Data Engineering, 2010.
    • (2010) IEEE Transactions on Knowledge and Data Engineering
    • Chen, H.1    Yao, X.2
  • 29
    • 35048862917 scopus 로고    scopus 로고
    • That elusive diversity in classifier ensembles
    • L. I. Kuncheva, "That elusive diversity in classifier ensembles," Pattern Recognition and Image Analysis, vol. 2652, pp. 1126-1138, 2003.
    • (2003) Pattern Recognition and Image Analysis , vol.2652 , pp. 1126-1138
    • Kuncheva, L.I.1
  • 30
    • 34547673383 scopus 로고    scopus 로고
    • Cost-sensitive boosting for classification of imbalanced data
    • Y. Sun, M. S. Kamel, A. K. Wong, and Y. Wang, "Cost-sensitive boosting for classification of imbalanced data," Pattern Recognition, vol. 40, no. 12, pp. 3358-3378, 2007.
    • (2007) Pattern Recognition , vol.40 , Issue.12 , pp. 3358-3378
    • Sun, Y.1    Kamel, M.S.2    Wong, A.K.3    Wang, Y.4
  • 33
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the roc curve in the evaluation of machine learning algorithms
    • A. P. Bradley, "The use of the area under the roc curve in the evaluation of machine learning algorithms," Pattern Recognition, vol. 30, no. 7, pp. 1145-1159, 1997.
    • (1997) Pattern Recognition , vol.30 , Issue.7 , pp. 1145-1159
    • Bradley, A.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.