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Volumn 21, Issue 5, 2010, Pages 701-717

Margin-maximizing feature elimination methods for linear and nonlinear kernel-based discriminant functions

Author keywords

Alzheimer's; Classifier margin; Discriminant function; Feature elimination; Gaussian kernel; Magnetic resonance imaging (MRI); Margin maximization; Medical imaging; Microarray; Neurodegenerative; Polynomial kernel; Recursive feature elimination (RFE)

Indexed keywords

ALZHEIMER'S; DISCRIMINANT FUNCTIONS; FEATURE ELIMINATION; GAUSSIAN KERNEL; GAUSSIAN KERNELS; NEURODEGENERATIVE; POLYNOMIAL KERNELS; RECURSIVE FEATURE ELIMINATION;

EID: 77951939084     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2010.2041069     Document Type: Article
Times cited : (46)

References (28)
  • 2
    • 77951938272 scopus 로고    scopus 로고
    • Margin-based feature selection techniques for support vector machine classification
    • Y. Aksu, D. J. Miller, and G. Kesidis, "Margin-based feature selection techniques for support vector machine classification," in Proc. IAPR Workshop Cogn. Inf. Process., 2008, pp. 176-181.
    • (2008) Proc. IAPR Workshop Cogn. Inf. Process. , pp. 176-181
    • Aksu, Y.1    Miller, D.J.2    Kesidis, G.3
  • 3
    • 34547971383 scopus 로고    scopus 로고
    • Direct convex relaxations of sparse SVM
    • DOI 10.1145/1273496.1273515, Proceedings, Twenty-Fourth International Conference on Machine Learning, ICML 2007
    • A. B. Chan, N. Vasconcelos, and G. R. Lanckriet, "Direct convex relaxations of sparse SVM," in Proc. Int. Conf. Mach. Learn., 2007, pp. 145-153. (Pubitemid 47275060)
    • (2007) ACM International Conference Proceeding Series , vol.227 , pp. 145-153
    • Chan, A.B.1    Vasconcelos, N.2    Lanckriet, G.R.G.3
  • 5
    • 84918441630 scopus 로고
    • Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition
    • Jun.
    • T. M. Cover, "Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition," IEEE Trans. Electron. Comput., vol.EC-14, no.3, pp. 326-334, Jun. 1965.
    • (1965) IEEE Trans. Electron. Comput. , vol.EC-14 , Issue.3 , pp. 326-334
    • Cover, T.M.1
  • 8
  • 9
    • 3543109140 scopus 로고    scopus 로고
    • A feature selection Newton method for support vector machine classification
    • Jul.
    • G. Fung and O. L. Mangasarian, "A feature selection Newton method for support vector machine classification," Comput. Optim. Appl., vol.28, no.2, pp. 185-202, Jul. 2004.
    • (2004) Comput. Optim. Appl. , vol.28 , Issue.2 , pp. 185-202
    • Fung, G.1    Mangasarian, O.L.2
  • 10
    • 21244486307 scopus 로고    scopus 로고
    • Multicategory proximal support vector machine classifiers
    • G. Fung and O. L. Mangasarian, "Multicategory proximal support vector machine classifiers," Mach. Learn., vol.59, pp. 77-97, 2005.
    • (2005) Mach. Learn. , vol.59 , pp. 77-97
    • Fung, G.1    Mangasarian, O.L.2
  • 11
    • 0033636139 scopus 로고    scopus 로고
    • Support vector machine classification and validation of cancer tissue samples using microarray expression data
    • T. Furey, N. Cristianini, N. Duffy, D. W. Bednarski, M. Schummer, and D. Haussler, "Support vector machine classification and validation of cancer tissue samples using microarray expression data," Bioinformatics, vol.16, no.10, pp. 906-914, 2000.
    • (2000) Bioinformatics , vol.16 , Issue.10 , pp. 906-914
    • Furey, T.1    Cristianini, N.2    Duffy, N.3    Bednarski, D.W.4    Schummer, M.5    Haussler, D.6
  • 12
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • I. Guyon, J. Weston, S. Barnhill, and V. Vapnik, "Gene selection for cancer classification using support vector machines," Mach. Learn., vol.46, no.1, pp. 389-422, 2002.
    • (2002) Mach. Learn. , vol.46 , Issue.1 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 13
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • I. Guyon and A. Elisseeff, "An introduction to variable and feature selection," J. Mach. Learn. Res., vol.3, pp. 1157-1182, 2003.
    • (2003) J. Mach. Learn. Res. , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 16
    • 21844461582 scopus 로고    scopus 로고
    • A modified finite Newton method for fast solution of large scale linear SVMs
    • S. S. Keerthi and D. DeCoste, "A modified finite Newton method for fast solution of large scale linear SVMs," J. Mach. Learn. Res., vol.6, pp. 341-361, 2005.
    • (2005) J. Mach. Learn. Res. , vol.6 , pp. 341-361
    • Keerthi, S.S.1    Decoste, D.2
  • 18
    • 33745801137 scopus 로고    scopus 로고
    • Exact 1-norm support vector machines via unconstrained convex differentiable minimization
    • O. L. Mangasarian, "Exact 1-norm support vector machines via unconstrained convex differentiable minimization," J. Mach. Learn. Res., vol.7, pp. 1517-1530, 2006.
    • (2006) J. Mach. Learn. Res. , vol.7 , pp. 1517-1530
    • Mangasarian, O.L.1
  • 20
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
    • Aug.
    • H. Peng, F. Long, and C. Ding, "Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy, " IEEE Trans. Pattern Anal. Mach. Intell., vol.27, no.8, pp. 1226-1238, Aug. 2005.
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell. , vol.27 , Issue.8 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 23
    • 0036880516 scopus 로고    scopus 로고
    • HAMMER: Hierarchical attribute matching mechanism for elastic registration
    • Nov.
    • D. Shen and C. Davatzikos, "HAMMER: Hierarchical attribute matching mechanism for elastic registration," IEEE Trans. Med. Imag., vol.21, no.11, pp. 1421-1439, Nov. 2002.
    • (2002) IEEE Trans. Med. Imag. , vol.21 , Issue.11 , pp. 1421-1439
    • Shen, D.1    Davatzikos, C.2
  • 24
    • 0001287271 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • R. Tibshirani, "Regression shrinkage and selection via the lasso," J. R. Stat. Soc. B (Methodological), vol.58, no.1, pp. 267-288, 1996.
    • (1996) J. R. Stat. Soc. B (Methodological) , vol.58 , Issue.1 , pp. 267-288
    • Tibshirani, R.1
  • 25
    • 0018491795 scopus 로고
    • A problem of dimensionality: A simple example
    • Jul.
    • G. V. Trunk, "A problem of dimensionality: A simple example," IEEE Trans. Pattern Anal. Mach. Intell., vol.1, no.PAMI-3, pp. 306-307, Jul. 1979.
    • (1979) IEEE Trans. Pattern Anal. Mach. Intell. , vol.1 , Issue.PAMI-3 , pp. 306-307
    • Trunk, G.V.1
  • 27
    • 84890520049 scopus 로고    scopus 로고
    • Use of the zero norm with linear models and kernel methods
    • Mar.
    • J.Weston, A. Elisseeff, B. Scho&Die;lkopf, and M. Tipping, "Use of the zero norm with linear models and kernel methods," J. Mach. Learn. Res., vol.3, pp. 1439-1461, Mar. 2003.
    • (2003) J. Mach. Learn. Res. , vol.3 , pp. 1439-1461
    • Weston, J.1    Elisseeff, A.2    Schodie3    lkopf, B.4    Tipping, M.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.