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Volumn , Issue , 2010, Pages

Learning kernels with radiuses of minimum enclosing balls

Author keywords

[No Author keywords available]

Indexed keywords

INITIALIZATION PROBLEM; KERNEL LEARNING; LARGE MARGIN PRINCIPLE; LEARN+; LEARNING APPROACH; LEARNING KERNELS; MINIMUM ENCLOSING BALL; MULTIPLE KERNEL LEARNING; SCALING PROBLEM; SCALINGS;

EID: 85161982879     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (33)

References (21)
  • 1
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • O. Chapelle, V. Vapnik, O. Bousquet, and S. Mukherjee. Choosing multiple parameters for support vector machines. Machine Learning, 46(1):131-159, 2002.
    • (2002) Machine Learning , vol.46 , Issue.1 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3    Mukherjee, S.4
  • 10
    • 85027388762 scopus 로고    scopus 로고
    • Exploring large feature spaces with hierarchical multiple kernel learning
    • F. Bach. Exploring large feature spaces with hierarchical multiple kernel learning. In Adv. Neural. Inform. Process Syst. (NIPS 2008), 2008.
    • (2008) Adv. Neural. Inform. Process Syst. (NIPS 2008)
    • Bach, F.1
  • 18
    • 0003713964 scopus 로고    scopus 로고
    • Athena Scientific, Belmont MA, September
    • Dimitri P. Bertsekas. Nonlinear Programming. Athena Scientific, Belmont, MA, September 1999.
    • (1999) Nonlinear Programming
    • Bertsekas, D.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.