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Volumn 25, Issue 13, 2009, Pages 1711-1712

PenalizedSVM: A R-package for feature selection SVM classification

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; AUTOMATION; CLASSIFICATION; GENETIC SELECTION; INTERNET; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL PARAMETERS; ONLINE SYSTEM; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE;

EID: 67649214465     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btp286     Document Type: Article
Times cited : (80)

References (10)
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  • 3
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    • Comments on 'Wavelets in Statistics: A Review' by A. Antoniadis
    • Fan,J. (1997) Comments on 'Wavelets in Statistics: A Review' by A. Antoniadis. J. Italian Stat. Assoc., 6, 131-138.
    • (1997) J. Italian Stat. Assoc , vol.6 , pp. 131-138
    • Fan, J.1
  • 4
    • 1542784498 scopus 로고    scopus 로고
    • Variable selection via nonconcave penalized likelihood and its oracle properties
    • Fan,J. and Li,R. (2001) Variable selection via nonconcave penalized likelihood and its oracle properties. J. Am. Stat. Assoc., 96 1348-1360.
    • (2001) J. Am. Stat. Assoc , vol.96 , pp. 1348-1360
    • Fan, J.1    Li, R.2
  • 5
    • 3543109140 scopus 로고    scopus 로고
    • A feature selection newton method for support vector machine classification
    • Fung,G. and Mangasarian,O.L. (2004) A feature selection newton method for support vector machine classification. Comput. Optim. Appl. J. 28, 185-202.
    • (2004) Comput. Optim. Appl. J , vol.28 , pp. 185-202
    • Fung, G.1    Mangasarian, O.L.2
  • 6
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon,I. et al. (2002) Gene selection for cancer classification using support vector machines. Mach. Learn., 46, 389-422.
    • (2002) Mach. Learn , vol.46 , pp. 389-422
    • Guyon, I.1
  • 7
    • 22944466045 scopus 로고    scopus 로고
    • Molecular diagnosis: Classification, model selection, and performance evaluation
    • Markowetz,F. and Spang,R. (2005) Molecular diagnosis: Classification, model selection, and performance evaluation. Methods Inf. Med., 44, 438-443.
    • (2005) Methods Inf. Med , vol.44 , pp. 438-443
    • Markowetz, F.1    Spang, R.2
  • 8
    • 0001287271 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Tibshirani,R. (1996) Regression shrinkage and selection via the lasso. J. R. Stat. Soc. B, 58, 267-288.
    • (1996) J. R. Stat. Soc. B , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 9
    • 0001001098 scopus 로고    scopus 로고
    • Feature Selection for SVMs
    • Weston,J. et al. (2000) Feature Selection for SVMs. Adv. Neural Inf. Process. Syst., 13, 668-674.
    • (2000) Adv. Neural Inf. Process. Syst , vol.13 , pp. 668-674
    • Weston, J.1
  • 10
    • 30344438839 scopus 로고    scopus 로고
    • Gene selection using support vector machines with nonconvex penalty
    • Zhang,H.H. et al. (2006) Gene selection using support vector machines with nonconvex penalty. Bioinformatics, 22, 88-95.
    • (2006) Bioinformatics , vol.22 , pp. 88-95
    • Zhang, H.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.