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Volumn 71, Issue 13-15, 2008, Pages 2521-2528

Class-switching neural network ensembles

Author keywords

Bagging; Boosting; Class switching; Decision trees; Ensembles of classifiers; Neural networks

Indexed keywords

DECISION TREES; FORESTRY; NEURAL NETWORKS;

EID: 56449095607     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2007.11.041     Document Type: Conference Paper
Times cited : (26)

References (31)
  • 1
    • 85030583010 scopus 로고    scopus 로고
    • UCI machine learning repository
    • A. Asuncion, D.J. Newman, UCI machine learning repository, 2007 .
    • (2007)
    • Asuncion, A.1    Newman, D.J.2
  • 2
    • 0032645080 scopus 로고    scopus 로고
    • An empirical comparison of voting classiffication algorithms: Bagging, boosting, and variants
    • E. Bauer, R. Kohavi, An empirical comparison of voting classiffication algorithms: Bagging, boosting, and variants, Mach. Learn. 36 (1-2) (1999) 105-139.
    • (1999) Mach. Learn , vol.36 , Issue.1-2 , pp. 105-139
    • Bauer, E.1    Kohavi, R.2
  • 3
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman, Bagging predictors, Mach. Learn. 24 (2) (1996) 123-140.
    • (1996) Mach. Learn , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 4
    • 0346786584 scopus 로고    scopus 로고
    • Arcing classifiers
    • L. Breiman, Arcing classifiers, Ann. Statist. 26 (3) (1998) 801-849.
    • (1998) Ann. Statist , vol.26 , Issue.3 , pp. 801-849
    • Breiman, L.1
  • 5
    • 0034276320 scopus 로고    scopus 로고
    • Randomizing outputs to increase prediction accuracy
    • L. Breiman, Randomizing outputs to increase prediction accuracy, Mach. Learn. 40 (3) (2000) 229-242.
    • (2000) Mach. Learn , vol.40 , Issue.3 , pp. 229-242
    • Breiman, L.1
  • 6
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman, Random forests, Mach. Learn. 45 (1) (2001) 5-32.
    • (2001) Mach. Learn , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 8
    • 25144470108 scopus 로고    scopus 로고
    • Balanced boosting with parallel perceptrons
    • J. Cabestany, A. Prieto, F.S. Hernández Eds, IWANN, Springer
    • I. Cantador, J.R. Dorronsoro, Balanced boosting with parallel perceptrons, in: J. Cabestany, A. Prieto, F.S. Hernández (Eds.), IWANN, Lecture Notes in Computer Science, Vol. 3572, Springer, 2005.
    • (2005) Lecture Notes in Computer Science , vol.3572
    • Cantador, I.1    Dorronsoro, J.R.2
  • 9
    • 0034250160 scopus 로고    scopus 로고
    • An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
    • T.G. Dietterich, An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization, Mach. Learn. 40 (2) (2000) 139-157.
    • (2000) Mach. Learn , vol.40 , Issue.2 , pp. 139-157
    • Dietterich, T.G.1
  • 10
    • 0000406788 scopus 로고
    • Solving multiclass learning problems via error-correcting output codes
    • T.G. Dietterich, G. Bakiri, Solving multiclass learning problems via error-correcting output codes, J. Artif. Intell. Res. 2 (1995) 263-286.
    • (1995) J. Artif. Intell. Res , vol.2 , pp. 263-286
    • Dietterich, T.G.1    Bakiri, G.2
  • 12
    • 19044382587 scopus 로고    scopus 로고
    • Round robin classification
    • J. Fürnkranz, Round robin classification, J. Mach. Learn. Res. 2 (2002) 721-747.
    • (2002) J. Mach. Learn. Res , vol.2 , pp. 721-747
    • Fürnkranz, J.1
  • 18
    • 33749868153 scopus 로고    scopus 로고
    • G. Martínez-Munoz, A. Sánchez-Martínez, A. Suárez, Building ensembles of neural networks with class-switching, in: S.D. Kollias, A. Stafylopatis, W. Duch, E. Oja (Eds.), ICANN (1), Lecture Notes in Computer Science, 4131, Springer, 2006.
    • G. Martínez-Munoz, A. Sánchez-Martínez, A. Suárez, Building ensembles of neural networks with class-switching, in: S.D. Kollias, A. Stafylopatis, W. Duch, E. Oja (Eds.), ICANN (1), Lecture Notes in Computer Science, Vol. 4131, Springer, 2006.
  • 19
    • 22844439516 scopus 로고    scopus 로고
    • Switching class labels to generate classification ensembles
    • G. Martínez-Muñoz, A. Suárez, Switching class labels to generate classification ensembles, Pattern Recognition 38 (10) (2005) 1483-1494.
    • (2005) Pattern Recognition , vol.38 , Issue.10 , pp. 1483-1494
    • Martínez-Muñoz, G.1    Suárez, A.2
  • 20
    • 0042847140 scopus 로고    scopus 로고
    • Inference for the generalization error
    • C. Nadeau, Y. Bengio, Inference for the generalization error, Mach. Learn. 52 (3) (2003) 239-281.
    • (2003) Mach. Learn , vol.52 , Issue.3 , pp. 239-281
    • Nadeau, C.1    Bengio, Y.2
  • 21
    • 33745858913 scopus 로고    scopus 로고
    • Implementation of a fast artificial neural network library (FANN)
    • Technical Report, Department of Computer Science, University of Copenhagen, URL
    • S. Nissen, Implementation of a fast artificial neural network library (FANN), Technical Report, Department of Computer Science, University of Copenhagen, 2003. URL: .
    • (2003)
    • Nissen, S.1
  • 22
    • 0000551189 scopus 로고    scopus 로고
    • Popular ensemble methods: An empirical study
    • D. Opitz, R. Maclin, Popular ensemble methods: An empirical study, J. Artif. Intell. Res. 11 (1999) 169-198.
    • (1999) J. Artif. Intell. Res , vol.11 , pp. 169-198
    • Opitz, D.1    Maclin, R.2
  • 23
    • 0000926506 scopus 로고
    • When networks disagree: Ensemble methods for hybrid neural networks
    • R.J. Mammone Ed, Chapman & Hall, London
    • M.P. Perrone, L.N. Cooper, When networks disagree: Ensemble methods for hybrid neural networks, in: R.J. Mammone (Ed.), Neural Networks for Speech and Image Processing, Chapman & Hall, London, 1993, pp. 126-142.
    • (1993) Neural Networks for Speech and Image Processing , pp. 126-142
    • Perrone, M.P.1    Cooper, L.N.2
  • 24
    • 85030586905 scopus 로고    scopus 로고
    • J.R. Quinlan, C4.5 Programs for Machine Learning, Morgan Kaufmann, Los Altos, CA, 1993.
    • J.R. Quinlan, C4.5 Programs for Machine Learning, Morgan Kaufmann, Los Altos, CA, 1993.
  • 27
    • 0032280519 scopus 로고    scopus 로고
    • Boosting the margin: A new explanation for the effectiveness of voting methods
    • R.E. Schapire, Y. Freund, P.L. Bartlett, W.S. Lee, Boosting the margin: a new explanation for the effectiveness of voting methods, Ann. Statist. 12 (5) (1998) 1651-1686.
    • (1998) Ann. Statist , vol.12 , Issue.5 , pp. 1651-1686
    • Schapire, R.E.1    Freund, Y.2    Bartlett, P.L.3    Lee, W.S.4
  • 28
    • 85030587544 scopus 로고    scopus 로고
    • A.J.C. Sharkey, Combining Arti.cial Neural Nets: Ensemble and Modular Multi-Net Systems, Springer, London, 1999.
    • A.J.C. Sharkey, Combining Arti.cial Neural Nets: Ensemble and Modular Multi-Net Systems, Springer, London, 1999.
  • 29
    • 1942452226 scopus 로고    scopus 로고
    • G. Valentini, T.G. Dietterich, Low bias bagged support vector machines, in: T. Fawcett, N. Mishra (Eds.), ICML, AAAI press, 2003.
    • G. Valentini, T.G. Dietterich, Low bias bagged support vector machines, in: T. Fawcett, N. Mishra (Eds.), ICML, AAAI press, 2003.
  • 30
    • 26944501740 scopus 로고    scopus 로고
    • Bias-variance analysis of support vector machines for the development of SVM-based ensemble methods
    • G. Valentini, T.G. Dietterich, Bias-variance analysis of support vector machines for the development of SVM-based ensemble methods, J. Mach. Learn. Res. 5 (2004) 725-775.
    • (2004) J. Mach. Learn. Res , vol.5 , pp. 725-775
    • Valentini, G.1    Dietterich, T.G.2
  • 31
    • 0026692226 scopus 로고
    • Stacked generalization
    • D.H. Wolpert, Stacked generalization, Neural Networks 5 (2) (1992) 241-259.
    • (1992) Neural Networks , vol.5 , Issue.2 , pp. 241-259
    • Wolpert, D.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.