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Volumn 38, Issue 1, 2011, Pages 343-359

Constructing ensembles of classifiers using supervised projection methods based on misclassified instances

Author keywords

Boosting; Classification; Ensembles of classifiers; Subspace methods

Indexed keywords

ADABOOST; BOOSTING; CLASSIFICATION; DATA SETS; ENSEMBLE CONSTRUCTION; ENSEMBLES OF CLASSIFIERS; INDIVIDUAL CLASSIFIERS; NON-LINEAR; OVER SAMPLING; PROJECTION ALGORITHMS; PROJECTION METHOD; SUB-SPACE METHODS; TRAINING SETS; UCI MACHINE LEARNING REPOSITORY;

EID: 77956614386     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.06.072     Document Type: Article
Times cited : (19)

References (35)
  • 2
    • 0032645080 scopus 로고    scopus 로고
    • An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
    • E. Bauer, and R. Kohavi An empirical comparison of voting classification algorithms: Bagging, boosting, and variants Machine Learning 36 1/2 1999 105 142
    • (1999) Machine Learning , vol.36 , Issue.1-2 , pp. 105-142
    • Bauer, E.1    Kohavi, R.2
  • 3
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman Bagging predictors Machine Learning 24 2 1996 123 140
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 4
    • 0003619255 scopus 로고    scopus 로고
    • Tech. Rep. 460, Department of Statistics, University of California, Berkeley, CA
    • Breiman, L. (1996b). Bias, variance, and arcing classifiers. Tech. Rep. 460, Department of Statistics, University of California, Berkeley, CA.
    • (1996) Bias, Variance, and Arcing Classifiers
    • Breiman, L.1
  • 5
    • 0042887573 scopus 로고    scopus 로고
    • Nonparametric discriminant analysis and nearest neighbor classification
    • M. Bressan, and J. Vitriá Nonparametric discriminant analysis and nearest neighbor classification Pattern Recognition Letters 24 15 2003 2743 2749
    • (2003) Pattern Recognition Letters , vol.24 , Issue.15 , pp. 2743-2749
    • Bressan, M.1    Vitriá, J.2
  • 9
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • J. Demar Statistical comparisons of classifiers over multiple data sets Journal of Machine Learning Research 7 2006 1 30
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demar, J.1
  • 10
    • 19944404611 scopus 로고    scopus 로고
    • Tech. Rep., Pattern Recognition Group, Department of Imaging Science and Technology, Delft University of Technology
    • de Ridder, D., & Duin, R. (2002). Locally linear embedding for classification (technical report ph-2002-01). Tech. Rep., Pattern Recognition Group, Department of Imaging Science and Technology, Delft University of Technology. Available from citeseer.ist.psu.edu/kuo01improved.html.
    • (2002) Locally Linear Embedding for Classification (Technical Report ph-2002-01)
    • De Ridder, D.1    Duin, R.2
  • 11
    • 80053403826 scopus 로고    scopus 로고
    • Ensemble methods in machine learning
    • Proceedings of the first international workshop on multiple classifier systems
    • T.G. Dietterich Ensemble methods in machine learning J. Kittler, F. Roli, Proceedings of the first international workshop on multiple classifier systems Lecture notes in computer science Vol. 1857 2000 Springer Berlin 1 15
    • (2000) Lecture Notes in Computer Science , vol.1857 , pp. 1-15
    • Dietterich, T.G.1
  • 12
    • 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 Machine Learning 40 2000 139 157
    • (2000) Machine Learning , vol.40 , pp. 139-157
    • Dietterich, T.G.1
  • 13
    • 34147120474 scopus 로고
    • A note on two problems in connexion with graphs
    • from
    • E.W. Dijkstra A note on two problems in connexion with graphs Numerische Mathematik 1 1959 269 271 Available from http://www-m3.ma.tum.de/twiki/pub/ MN0506/WebHome/dijkstra.pdf
    • (1959) Numerische Mathematik , vol.1 , pp. 269-271
    • Dijkstra, E.W.1
  • 22
    • 0037403516 scopus 로고    scopus 로고
    • Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
    • L. Kuncheva, and C.J. Whitaker Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy Machine Learning 51 2 2003 181 207
    • (2003) Machine Learning , vol.51 , Issue.2 , pp. 181-207
    • Kuncheva, L.1    Whitaker, C.J.2
  • 26
    • 0032661927 scopus 로고    scopus 로고
    • Using correspondence analysis to combine classifiers
    • C.J. Merz Using correspondence analysis to combine classifiers Machine Learning 36 1 1999 33 58
    • (1999) Machine Learning , vol.36 , Issue.1 , pp. 33-58
    • Merz, C.J.1
  • 29
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • S.T. Roweis, and L.K. Saul Nonlinear dimensionality reduction by locally linear embedding Science 290 5500 2000 2323 2326
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 30
    • 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, and W.S. Lee Boosting the margin: A new explanation for the effectiveness of voting methods Annals of Statistics 26 5 1998 1651 1686
    • (1998) Annals of Statistics , vol.26 , Issue.5 , pp. 1651-1686
    • Schapire, R.E.1    Freund, Y.2    Bartlett, P.L.3    Lee, W.S.4
  • 33
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J.B. Tenenbaum, V. de Silva, and J.C. Langford A global geometric framework for nonlinear dimensionality reduction Science 290 5500 2000 2319 2323
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3
  • 34
    • 26444562358 scopus 로고    scopus 로고
    • Boosting multiple classifiers constructed by hybrid discriminant analysis
    • Multiple Classifier Systems: 6th International Workshop, MCS 2005. Proceedings
    • Q. Tian, J. Yu, and T.S. Huang Boosting multiple classifiers constructed by hybrid discriminant analysis N.C. Oza, R. Polikar, J. Kittler, F. Roli, Multiple classifier systems, sixth international workshop, MCS Lecture notes in computer science Vol. 3541 2005 Springer Seaside, CA 42 52 (Pubitemid 41422603)
    • (2005) Lecture Notes in Computer Science , vol.3541 , pp. 42-52
    • Tian, Q.1    Yu, J.2    Huang, T.S.3
  • 35
    • 84950351930 scopus 로고
    • Multidimensional scaling: I. Theory and methods
    • W.S. Torgerson Multidimensional scaling: I. Theory and methods Psychometrika 17 4 1952 401 419
    • (1952) Psychometrika , vol.17 , Issue.4 , pp. 401-419
    • Torgerson, W.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.