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Volumn 26, Issue , 2015, Pages 96-102

Post-aggregation of classifier ensembles

Author keywords

Classification; Ensemble; Maximal margin; Post aggregation

Indexed keywords

CLASSIFICATION (OF INFORMATION); INFORMATION FUSION;

EID: 84940002820     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.inffus.2015.01.003     Document Type: Article
Times cited : (19)

References (42)
  • 3
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman Bagging predictors Mach. Learn. 24 1996 123 140
    • (1996) Mach. Learn. , vol.24 , pp. 123-140
    • Breiman, L.1
  • 4
    • 0034276320 scopus 로고    scopus 로고
    • Randomizing outputs to increase prediction accuracy
    • L. Breiman Randomizing outputs to increase prediction accuracy Mach. Learn. 40 2000 229 242
    • (2000) Mach. Learn. , vol.40 , pp. 229-242
    • Breiman, L.1
  • 5
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman Random forests Mach. Learn. 45 2001 5 32
    • (2001) Mach. Learn. , vol.45 , pp. 5-32
    • Breiman, L.1
  • 6
    • 0026692226 scopus 로고
    • Stacked generalization
    • D.H. Wolpert Stacked generalization Neural Netw. 5 1992 241 259
    • (1992) Neural Netw. , vol.5 , pp. 241-259
    • Wolpert, D.H.1
  • 7
    • 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 J. Comput. Syst. Sci. 55 1997 119 139
    • (1997) J. Comput. Syst. Sci. , vol.55 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 8
    • 0033281701 scopus 로고    scopus 로고
    • Improved boosting algorithms using confidence-rated predictions
    • R.E. Schapire, and Y. Singer Improved boosting algorithms using confidence-rated predictions Mach. Learn. 37 1999 297 336
    • (1999) Mach. Learn. , vol.37 , pp. 297-336
    • Schapire, R.E.1    Singer, Y.2
  • 11
    • 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 Mach. Learn. 36 1999 105 139
    • (1999) Mach. Learn. , vol.36 , pp. 105-139
    • Bauer, E.1    Kohavi, R.2
  • 12
    • 71549152834 scopus 로고    scopus 로고
    • Local within-class accuracies for weighting individual outputs in multiple classifier systems
    • S. Sun Local within-class accuracies for weighting individual outputs in multiple classifier systems Pattern Recogn. Lett. 31 2010 119 124
    • (2010) Pattern Recogn. Lett. , vol.31 , pp. 119-124
    • Sun, S.1
  • 16
    • 79958135902 scopus 로고    scopus 로고
    • Variational inference for infinite mixtures of Gaussian processes with applications to traffic flow prediction
    • S. Sun, and X. Xu Variational inference for infinite mixtures of Gaussian processes with applications to traffic flow prediction IEEE Trans. Intell. Transport. Syst. 12 2011 466 475
    • (2011) IEEE Trans. Intell. Transport. Syst. , vol.12 , pp. 466-475
    • Sun, S.1    Xu, X.2
  • 26
    • 84897483887 scopus 로고    scopus 로고
    • Adaptive networks
    • A. Sayed Adaptive networks Proc. IEEE 102 2014 460 497
    • (2014) Proc. IEEE , vol.102 , pp. 460-497
    • Sayed, A.1
  • 31
    • 33847676236 scopus 로고    scopus 로고
    • Neighborhood property-based pattern selection for support vector machines
    • H.J. Shin, and S. Cho Neighborhood property-based pattern selection for support vector machines Neural Comput. 19 2007 816 855
    • (2007) Neural Comput. , vol.19 , pp. 816-855
    • Shin, H.J.1    Cho, S.2
  • 32
    • 84898835382 scopus 로고    scopus 로고
    • An efficient method to construct a radial basis function neural network classifier and its application to unconstrained handwritten digit recognition
    • Y.-S. Hwang, S.-Y. Bang, An efficient method to construct a radial basis function neural network classifier and its application to unconstrained handwritten digit recognition, in: Proc. Intl. Conf. Pattern Recognition, Vienna, Austria, 1996, pp. 640-644.
    • Proc. Intl. Conf. Pattern Recognition, Vienna, Austria, 1996 , pp. 640-644
    • Hwang, Y.-S.1    Bang, S.-Y.2
  • 33
    • 0032594960 scopus 로고    scopus 로고
    • Moderating the outputs of support vector machine classifiers
    • J.T. Kwok Moderating the outputs of support vector machine classifiers IEEE Trans. Neural Netw. 10 1999 1018 1031
    • (1999) IEEE Trans. Neural Netw. , vol.10 , pp. 1018-1031
    • Kwok, J.T.1
  • 34
    • 25144446054 scopus 로고
    • ROARS Project Esprit II-5516, Tech. Rep., ASM 93/S/EGS/NC/079
    • P. Alinat, Periodic Progress Report 4, ROARS Project Esprit II-5516, Tech. Rep., ASM 93/S/EGS/NC/079, 1993.
    • (1993) Periodic Progress Report , vol.4
    • Alinat, P.1
  • 35
    • 0000696616 scopus 로고
    • Neural networks and related methods for classification
    • B.D. Ripley Neural networks and related methods for classification J. Roy. Stat. Soc. 56 1994 409 456
    • (1994) J. Roy. Stat. Soc. , vol.56 , pp. 409-456
    • Ripley, B.D.1
  • 36
    • 78649934709 scopus 로고    scopus 로고
    • Univ California, Irvine, School of Information and Computer Science
    • A. Frank, A. Asuncion, UCI Machine Learning Repository, Univ California, Irvine, School of Information and Computer Science, 2010. < http://archive.ics.uci.edu/ml >.
    • (2010) UCI Machine Learning Repository
    • Frank, A.1    Asuncion, A.2
  • 37
    • 0001884644 scopus 로고
    • Individual comparisons by ranking methods
    • F. Wilcoxon Individual comparisons by ranking methods Biometrics Bull. 1 1945 80 83
    • (1945) Biometrics Bull. , vol.1 , pp. 80-83
    • Wilcoxon, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.