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Volumn , Issue , 2010, Pages 1175-1182

Simple and efficient multiple kernel learning by group lasso

Author keywords

[No Author keywords available]

Indexed keywords

CLOSED FORM SOLUTIONS; COMMERCIAL SOFTWARE; EFFICIENT ALGORITHM; GRADIENT DESCENT; KERNEL WEIGHT; LEVEL METHOD; MULTIPLE DATA; MULTIPLE KERNEL LEARNING; SVM SOLVERS;

EID: 77956547440     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (269)

References (24)
  • 2
    • 46249088758 scopus 로고    scopus 로고
    • Consistency of the group Lasso and multiple kernel learning
    • Bach, Francis R. Consistency of the group Lasso and multiple kernel learning. Journal of Machine Learning Research, 9: 1179-1225, 2008.
    • (2008) Journal of Machine Learning Research , vol.9 , pp. 1179-1225
    • Bach, F.R.1
  • 4
    • 42249094907 scopus 로고    scopus 로고
    • Support vector machine solvers
    • Léon Bottou, Olivier Chapelle, Dennis DeCoste and Weston, Jason (eds.)
    • Bottou, Léon and Lin, Chih-Jen. Support vector machine solvers. In Léon Bottou, Olivier Chapelle, Dennis DeCoste and Weston, Jason (eds.), Large Scale Kernel Machines, pp. 1-28. 2007.
    • (2007) Large Scale Kernel Machines , pp. 1-28
    • Bottou, L.1    Lin, C.-J.2
  • 8
    • 85156255820 scopus 로고    scopus 로고
    • Adaptive scaling for feature selection in SVMs
    • Grandvalet, Yves and Canu, Stéphane. Adaptive scaling for feature selection in SVMs. In NIPS, pp. 553-560, 2002.
    • (2002) NIPS , pp. 553-560
    • Grandvalet, Y.1    Canu, S.2
  • 23
    • 33645035051 scopus 로고    scopus 로고
    • Model selection and estimation in regression with grouped variables
    • Yuan, M. and Lin, Y. Model selection and estimation in regression with grouped variables. Journal of the Royal Statistical Society, Series B, 68(1):49-67, 2006.
    • (2006) Journal of the Royal Statistical Society, Series B , vol.68 , Issue.1 , pp. 49-67
    • Yuan, M.1    Lin, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.