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Volumn 227, Issue , 2007, Pages 1119-1126

Maximum margin clustering made practical

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL EFFICIENCY; CONVERGENCE OF NUMERICAL METHODS; OPTIMIZATION; PROBLEM SOLVING; SUPPORT VECTOR MACHINES;

EID: 34547987546     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273637     Document Type: Conference Paper
Times cited : (56)

References (15)
  • 8
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • B. Schölkopf, C. Burges and A. Smola Eds, Cambridge, MA: MIT Press
    • Platt, J. (1999). Fast training of support vector machines using sequential minimal optimization. In B. Schölkopf, C. Burges and A. Smola (Eds.), Advances in kernel methods - Support vector learning, 185-208. Cambridge, MA: MIT Press.
    • (1999) Advances in kernel methods - Support vector learning , pp. 185-208
    • Platt, J.1
  • 11
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers
    • Suykens, J., & Vandewalle, J. (1999). Least squares support vector machine classifiers. Neural Processing Letters, 9, 293-300.
    • (1999) Neural Processing Letters , vol.9 , pp. 293-300
    • Suykens, J.1    Vandewalle, J.2
  • 12
    • 84864041449 scopus 로고    scopus 로고
    • Generalized maximum margin clustering and unsupervised kernel learning
    • Cambridge, MA: MIT Press
    • Valizadegan, H., & Jin, R. (2007). Generalized maximum margin clustering and unsupervised kernel learning. Advances in Neural Information Processing Systems 19. Cambridge, MA: MIT Press.
    • (2007) Advances in Neural Information Processing Systems 19
    • Valizadegan, H.1    Jin, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.