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Volumn , Issue , 2008, Pages

A least square kernel machine with box constraints

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); SUPPORT VECTOR MACHINES;

EID: 77958099973     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icpr.2008.4761717     Document Type: Conference Paper
Times cited : (13)

References (11)
  • 6
    • 1242263806 scopus 로고    scopus 로고
    • The generalized LASSO
    • V. Roth. The generalized LASSO. IEEE Trans. Neural Networks, 15(1):16-28, 2004.
    • (2004) IEEE Trans. Neural Networks , vol.15 , Issue.1 , pp. 16-28
    • Roth, V.1
  • 8
    • 0003401675 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • Royal Holloway College, University of London, UK
    • A. J. Smola and B. Schölkopf. A tutorial on support vector regression. Technical Report NC-TR-98-030, NeuroCOLT, Royal Holloway College, University of London, UK, 1998.
    • (1998) Technical Report NC-TR-98-030, NeuroCOLT
    • Smola, A.J.1    Schölkopf, B.2
  • 9
    • 0001224048 scopus 로고    scopus 로고
    • Sparse Bayesian learning and the relevance vector machine
    • M. Tipping. Sparse Bayesian learning and the relevance vector machine. Journal Machine Learning Research, 1:211-244, 2001.
    • (2001) Journal Machine Learning Research , vol.1 , pp. 211-244
    • Tipping, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.