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Volumn 5781 LNAI, Issue PART 1, 2009, Pages 315-329

Feature weighting using margin and radius based error bound optimization in SVMs

Author keywords

Convex optimization; Feature weighting; Support vector machine

Indexed keywords

CONVEX APPROXIMATION; ERROR BOUND; ERROR BOUND OPTIMIZATION; FEATURE SELECTION; FEATURE WEIGHTING; GIVEN FEATURES; PREDICTIVE PERFORMANCE; REAL-WORLD DATASETS; SPARSE VECTORS; SVM ALGORITHM; SVM-OPTIMIZATION;

EID: 70350633050     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04180-8_38     Document Type: Conference Paper
Times cited : (24)

References (18)
  • 3
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using suppor vector machine
    • Guyon, I., Weston, J., Barnhill, S., Vapnik, V.: Gene selection for cancer classification using suppor vector machine. Machine Learning 46, 389-422 (2002)
    • (2002) Machine Learning , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 4
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • Chapelle, O., Vapnik, V., Bousquet, O., Mukherjee, S.: Choosing multiple parameters for support vector machines. Machine Learning 46(1-3), 131-159 (2002)
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3    Mukherjee, S.4
  • 5
    • 0037382208 scopus 로고    scopus 로고
    • Evaluation of simple performance measures for tuning svm hyperparameters
    • Duan, K., Keerthi, S.S., Poo, A.N.: Evaluation of simple performance measures for tuning svm hyperparameters. Neurocomputing 51, 41-59 (2002)
    • (2002) Neurocomputing , vol.51 , pp. 41-59
    • Duan, K.1    Keerthi, S.S.2    Poo, A.N.3
  • 6
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Tibshirani, R.: Regression shrinkage and selection via the lasso. Roal statistics 58, 276-288 (1996)
    • (1996) Roal statistics , vol.58 , pp. 276-288
    • Tibshirani, R.1
  • 13
    • 0032096712 scopus 로고    scopus 로고
    • Optimization problems with perturbation: A guided tour
    • Bonnans, J., Shapiro, A.: Optimization problems with perturbation: A guided tour. SIAM Review 40(2), 202-227 (1998)
    • (1998) SIAM Review , vol.40 , Issue.2 , pp. 202-227
    • Bonnans, J.1    Shapiro, A.2
  • 14
    • 34248647608 scopus 로고    scopus 로고
    • Stability of feature selection algorithms: A study on high dimensional spaces
    • Kalousis, A., Prados, J., Hilario, M.: Stability of feature selection algorithms: a study on high dimensional spaces. Knowledge and Information Systems 12(1), 95-116 (2007)
    • (2007) Knowledge and Information Systems , vol.12 , Issue.1 , pp. 95-116
    • Kalousis, A.1    Prados, J.2    Hilario, M.3
  • 18
    • 0004055894 scopus 로고    scopus 로고
    • Stephen Boyd, L.V, ed, Cambridge University Press, Cambridge
    • Stephen Boyd, L.V. (ed.): Convex optimization. Cambridge University Press, Cambridge (2004)
    • (2004) Convex optimization


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.