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Volumn , Issue , 2010, Pages 239-246

Two-stage learning kernel algorithms

Author keywords

[No Author keywords available]

Indexed keywords

CONCENTRATION BOUNDS; EMPIRICAL RESULTS; KERNEL MATRICES; LEARNING KERNELS; TWO STAGE;

EID: 77956505061     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (168)

References (18)
  • 1
    • 85027388762 scopus 로고    scopus 로고
    • Exploring large feature spaces with hierarchical multiple kernel learning
    • Bach, F. Exploring large feature spaces with hierarchical multiple kernel learning. In NIPS, 2008.
    • (2008) NIPS
    • Bach, F.1
  • 2
    • 34250706855 scopus 로고    scopus 로고
    • On a theory of learning with similarity functions
    • Balean, M.-F. and Blum, A. On a theory of learning with similarity functions. In ICML, pp. 73-80, 2006.
    • (2006) ICML , pp. 73-80
    • Balean, M.-F.1    Blum, A.2
  • 3
    • 77956548520 scopus 로고    scopus 로고
    • Invited talk: Can learning kernels help performance?
    • Cortes, C. Invited talk: Can learning kernels help performance? In ICML 2009, pp. 161, 2009.
    • (2009) ICML 2009 , pp. 161
    • Cortes, C.1
  • 4
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes, C. and Vapnik, Vladimir. Support-Vector Networks. Machine Learning, 20(3), 1995.
    • (1995) Machine Learning , vol.20 , Issue.3
    • Cortes, C.1    Vapnik, V.2
  • 6
    • 84858743760 scopus 로고    scopus 로고
    • Learning nonlinear combinations of kernels
    • Cortes, C., Mohri, A., and Rostamizadeh, A. Learning nonlinear combinations of kernels. In NIPS, 2009b.
    • (2009) NIPS
    • Cortes, C.1    Mohri, A.2    Rostamizadeh, A.3
  • 13
    • 78650177454 scopus 로고    scopus 로고
    • Data centering in feature space
    • Meila, M. Data centering in feature space. AISTATS, 2003.
    • (2003) AISTATS
    • Meila, M.1
  • 14
    • 23244434257 scopus 로고    scopus 로고
    • Learning the kernel function via regularization
    • Micchelli, C. and Pontil, M. Learning the kernel function via regularization. JMLR, 6, 2005.
    • (2005) JMLR , pp. 6
    • Micchelli, C.1    Pontil, M.2
  • 15
    • 21844468979 scopus 로고    scopus 로고
    • Learning the kernel with hyperkernels
    • Ong, C. S., Smola, A., and Williamson, R. Learning the kernel with hyperkernels. JMLR, 6, 2005.
    • (2005) JMLR , pp. 6
    • Ong, C.S.1    Smola, A.2    Williamson, R.3
  • 16
    • 51449115136 scopus 로고    scopus 로고
    • Optimizing kernel alignment by data translation in feature space
    • Pothin, J.-B. and Richard, C. Optimizing kernel alignment by data translation in feature space. In ICASSP, 2008.
    • (2008) ICASSP
    • Pothin, J.-B.1    Richard, C.2
  • 18
    • 77956508938 scopus 로고    scopus 로고
    • Learning bounds for support vector machines with learned kernels
    • Srebro, N. and Ben-David, S. Learning bounds for support vector machines with learned kernels. In COLT, 2006.
    • (2006) COLT
    • Srebro, N.1    Ben-David, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.