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Volumn 23, Issue 9, 2009, Pages 479-486

Robustified least squares support vector classification

Author keywords

Classification; Least squares support vector machines; Outliers; Reweighting; Robustness

Indexed keywords

STATISTICS;

EID: 70349584934     PISSN: 08869383     EISSN: 1099128X     Source Type: Journal    
DOI: 10.1002/cem.1241     Document Type: Article
Times cited : (15)

References (39)
  • 9
    • 0008466488 scopus 로고    scopus 로고
    • Robust linear discriminant analysis for chemical pattern recognition
    • Li Y, Jiang JH, Chen ZP, Xu CJ, Yu RQ. Robust linear discriminant analysis for chemical pattern recognition. J. Chemometr. 1999; 13: 3-13.
    • (1999) J. Chemometr , vol.13 , pp. 3-13
    • Li, Y.1    Jiang, J.H.2    Chen, Z.P.3    Xu, C.J.4    Yu, R.Q.5
  • 11
    • 24044495522 scopus 로고    scopus 로고
    • Robust classification in high dimensions based on the SIMCA method
    • Vanden Branden K, Hubert M. Robust classification in high dimensions based on the SIMCA method. Chemometr Intell. Lab. Syst. 2005; 79: 10-21.
    • (2005) Chemometr Intell. Lab. Syst , vol.79 , pp. 10-21
    • Vanden Branden, K.1    Hubert, M.2
  • 12
    • 0029917548 scopus 로고    scopus 로고
    • Robust methods for multivariate analysis-a tutorial review
    • Liang Y-Z, Kvalheim OM. Robust methods for multivariate analysis-a tutorial review. Chemometr. Intell. Lab. Syst. 1996; 32: 1-10.
    • (1996) Chemometr. Intell. Lab. Syst , vol.32 , pp. 1-10
    • Liang, Y.-Z.1    Kvalheim, O.M.2
  • 13
    • 32444447671 scopus 로고    scopus 로고
    • A robustification of independent component analysis
    • Brys G, Hubert M, Rousseeuw PJ. A robustification of independent component analysis. J. Chemometr. 2005; 19: 364-375.
    • (2005) J. Chemometr , vol.19 , pp. 364-375
    • Brys, G.1    Hubert, M.2    Rousseeuw, P.J.3
  • 14
    • 33744801099 scopus 로고    scopus 로고
    • Robust methods for multivariate data analysis
    • Frosch Moller S, von Frese J, Bro R. Robust methods for multivariate data analysis. J. Chemometr. 2005; 19: 549-563.
    • (2005) J. Chemometr , vol.19 , pp. 549-563
    • Frosch Moller, S.1    von Frese, J.2    Bro, R.3
  • 17
    • 34248577801 scopus 로고    scopus 로고
    • Algorithms for projection-pursuit robust principal component analysis
    • Croux C, Filzmoser P, Oliveira MR. Algorithms for projection-pursuit robust principal component analysis. Chemometr. Intell. Lab. Syst. 2007; 87: 218-225.
    • (2007) Chemometr. Intell. Lab. Syst , vol.87 , pp. 218-225
    • Croux, C.1    Filzmoser, P.2    Oliveira, M.R.3
  • 18
    • 18244390064 scopus 로고    scopus 로고
    • On robust properties of convex risk minimization methods for pattern recognition
    • Christmann A, Steinwart I. On robust properties of convex risk minimization methods for pattern recognition. J. Mach. Learn. Res. 2004; 5: 1007-1034.
    • (2004) J. Mach. Learn. Res , vol.5 , pp. 1007-1034
    • Christmann, A.1    Steinwart, I.2
  • 21
    • 85153990582 scopus 로고    scopus 로고
    • The LSSVMLab Toolbox Website
    • The LSSVMLab Toolbox Website. http://www.esat.kuleuven.ac.be/sista/lssvmlab/toolbox.html
  • 23
    • 0000354169 scopus 로고
    • Multivariate spatial sign and rank methods
    • Möttönen J, Oja H. Multivariate spatial sign and rank methods. J. Non-parametr. Stat. 1995; 5: 201-213.
    • (1995) J. Non-parametr. Stat , vol.5 , pp. 201-213
    • Möttönen, J.1    Oja, H.2
  • 24
    • 2142656338 scopus 로고    scopus 로고
    • Nonparametric multivariate descriptive measures based on spatial quantiles
    • Serfling R. Nonparametric multivariate descriptive measures based on spatial quantiles. J. Stat. Plan. Inference 2004; 123: 259-278.
    • (2004) J. Stat. Plan. Inference , vol.123 , pp. 259-278
    • Serfling, R.1
  • 28
    • 56349086986 scopus 로고    scopus 로고
    • Model selection in kernel based regression using the influence function
    • Debruyne M, Hubert M, Suykens JAK. Model selection in kernel based regression using the influence function. J. Mach. Learn. Res. 2008; 9: 2377-2400.
    • (2008) J. Mach. Learn. Res , vol.9 , pp. 2377-2400
    • Debruyne, M.1    Hubert, M.2    Suykens, J.A.K.3
  • 29
    • 0034048878 scopus 로고    scopus 로고
    • A discriminative framework for detecting remote protein homologies
    • Jaakkola T, Diekhans M, Haussler D. A discriminative framework for detecting remote protein homologies. J. Comput. Biol. 2000; 7: 95-114.
    • (2000) J. Comput. Biol. , vol.7 , pp. 95-114
    • Jaakkola, T.1    Diekhans, M.2    Haussler, D.3
  • 30
    • 0036358995 scopus 로고    scopus 로고
    • The spectrum kernel: A string kernel for svm protein classification
    • Altman RB, Dunker AK, Hunter L, Lauerdale K, Klein TE (eds). World Scientific
    • Leslie C, Eskin E, Noble WS. The spectrum kernel: a string kernel for svm protein classification. Proceedings of the Pacific Symposium on Biocomputing, Altman RB, Dunker AK, Hunter L, Lauerdale K, Klein TE (eds). World Scientific, 2002; 566-575.
    • (2002) Proceedings of the Pacific Symposium on Biocomputing , pp. 566-575
    • Leslie, C.1    Eskin, E.2    Noble, W.S.3
  • 31
    • 84898968688 scopus 로고    scopus 로고
    • Mismatch string kernels for svm protein classification
    • Becker S, Thrun S, Obermayer K (eds). MIT Press: Cambridge, MA
    • Leslie C, Eskin E, Weston J, Noble WS. Mismatch string kernels for svm protein classification. Advances in Neural Information Processing Systems, Vol. 15, Becker S, Thrun S, Obermayer K (eds). MIT Press: Cambridge, MA, 2003.
    • (2003) Advances in Neural Information Processing Systems , vol.15
    • Leslie, C.1    Eskin, E.2    Weston, J.3    Noble, W.S.4
  • 32
    • 4444273377 scopus 로고    scopus 로고
    • Protein homology detection using string alignment kernels
    • Saigo H, Vert J, Ueda N, Akutsul T. Protein homology detection using string alignment kernels. Bioinformatics 2004; 20: 1682-1689.
    • (2004) Bioinformatics , vol.20 , pp. 1682-1689
    • Saigo, H.1    Vert, J.2    Ueda, N.3    Akutsul, T.4
  • 33
    • 36948999941 scopus 로고    scopus 로고
    • Irvine, CA, University of California, School of Information and Computer Sci-ence
    • Asuncion A, Newman DJ. UCI Machine Learning Repository. [http://www.ics.uci.edu/~mlearn/MLRepository.html] 2007, Irvine, CA, University of California, School of Information and Computer Sci-ence.
    • (2007) UCI Machine Learning Repository
    • Asuncion, A.1    Newman, D.J.2
  • 34
    • 0033653317 scopus 로고    scopus 로고
    • Quantitative Z-analysis of the 16-17th century archaelogical glass vessels using PLS regression of EPXMA and -XRF data
    • Lemberge P, De Raedt I, Janssens KH, Wei F, Van Espen PJ. Quantitative Z-analysis of the 16-17th century archaelogical glass vessels using PLS regression of EPXMA and -XRF data. J. Chemometr. 2000; 14: 751-763.
    • (2000) J. Chemometr , vol.14 , pp. 751-763
    • Lemberge, P.1    de Raedt, I.2    Janssens, K.H.3    Wei, F.4    van Espen, P.J.5
  • 35
    • 13444287831 scopus 로고    scopus 로고
    • ROBPCA: A new approach to robust principal component analysis
    • Hubert M, Rousseeuw PJ, VandenBranden K. ROBPCA: a new approach to robust principal component analysis. Technometrics 2005; 47: 64-79.
    • (2005) Technometrics , vol.47 , pp. 64-79
    • Hubert, M.1    Rousseeuw, P.J.2    Vandenbranden, K.3
  • 36
    • 84986745987 scopus 로고
    • Application of near infrared reglectance spectroscopy to the compositional analysis of biscuits and biscuit dough
    • Osborne BG, Fearn T, Miller AR, Douglas S. Application of near infrared reglectance spectroscopy to the compositional analysis of biscuits and biscuit dough. J. Sci. Food Agric. 1984; 35: 99-105.
    • (1984) J. Sci. Food Agric , vol.35 , pp. 99-105
    • Osborne, B.G.1    Fearn, T.2    Miller, A.R.3    Douglas, S.4
  • 37
    • 0242322774 scopus 로고    scopus 로고
    • A robust PCR method for high-dimensional regressors
    • Hubert M, Verboven S. A robust PCR method for high-dimensional regressors. J. Chemometr. 2003; 17: 438-452.
    • (2003) J. Chemometr , vol.17 , pp. 438-452
    • Hubert, M.1    Verboven, S.2
  • 38
    • 34548112829 scopus 로고    scopus 로고
    • Broad patterns of gene expression revealed by clustering of tumor and normal colon tissues probed by oligonucleotide arrays
    • Alon U, Barkai N, Notterman DA, Gish K, Ybarra S, Mack D, Levine AJ. Broad patterns of gene expression revealed by clustering of tumor and normal colon tissues probed by oligonucleotide arrays. Proc. Natl. Acad. Sci. 1999; 96: 6475-6750.
    • (1999) Proc. Natl. Acad. Sci , vol.96 , pp. 6475-6750
    • Alon, U.1    Barkai, N.2    Notterman, D.A.3    Gish, K.4    Ybarra, S.5    Mack, D.6    Levine, A.J.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.