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Volumn , Issue , 2010, Pages

Multiple Kernel Learning and the SMO algorithm

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING ALGORITHMS;

EID: 85162016686     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (141)

References (21)
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    • Multiple kernel learning, conic duality, and the SMO algorithm
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    • The ordered subsets mirror descent optimization method with applications to tomography
    • A. Ben-Tal, T. Margalit, and A. Nemirovski. The ordered subsets mirror descent optimization method with applications to tomography. SIAM Journal of Opimization, 12(1):79-108, 2001.
    • (2001) SIAM Journal of Opimization , vol.12 , Issue.1 , pp. 79-108
    • Ben-Tal, A.1    Margalit, T.2    Nemirovski, A.3
  • 6
    • 77958134983 scopus 로고    scopus 로고
    • L2 regularization for learning kernels
    • C. Cortes, M. Mohri, and A. Rostamizadeh. L2 regularization for learning kernels. In UAI, 2009.
    • (2009) UAI
    • Cortes, C.1    Mohri, M.2    Rostamizadeh, A.3
  • 7
    • 84858743760 scopus 로고    scopus 로고
    • Learning non-linear combinations of kernels
    • C. Cortes, M. Mohri, and A. Rostamizadeh. Learning non-linear combinations of kernels. In NIPS, 2009.
    • (2009) NIPS
    • Cortes, C.1    Mohri, M.2    Rostamizadeh, A.3
  • 8
    • 29144499905 scopus 로고    scopus 로고
    • Working set selection using second order information for training SVM
    • R. E. Fan, P. H. Chen, and C. J. Lin. Working set selection using second order information for training SVM. JMLR, 6:1889-1918, 2005.
    • (2005) JMLR , vol.6 , pp. 1889-1918
    • Fan, R.E.1    Chen, P.H.2    Lin, C.J.3
  • 9
    • 0344875562 scopus 로고    scopus 로고
    • Robustness of the p-norm algorithms
    • C. Gentile. Robustness of the p-norm algorithms. ML, 53(3):265-299, 2003.
    • (2003) ML , vol.53 , Issue.3 , pp. 265-299
    • Gentile, C.1
  • 10
    • 56449124689 scopus 로고    scopus 로고
    • Localized multiple kernel learning
    • M. Gonen and E. Alpaydin. Localized multiple kernel learning. In ICML, 2008.
    • (2008) ICML
    • Gonen, M.1    Alpaydin, E.2
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    • 33646032356 scopus 로고    scopus 로고
    • The p-norm generaliziation of the LMS algorithm for adaptive filtering
    • J. Kivinen,M. K.Warmuth, and B. Hassibi. The p-norm generaliziation of the LMS algorithm for adaptive filtering. IEEE Trans. Signal Processing, 54(5):1782-1793, 2006.
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    • Kivinen, J.1    Warmuth, M.K.2    Hassibi, B.3
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    • C. J. Lin, S. Lucidi, L. Palagi, A. Risi, and M. Sciandrone. Decomposition algorithm model for singly linearly-constrained problems subject to lower and upper bounds. JOTA, 141(1):107-126, 2009.
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    • Group-sensitive multiple kernel learning for object categorization
    • J. Yang, Y. Li, Y. Tian, L. Duan, and W. Gao. Group-sensitive multiple kernel learning for object categorization. In ICCV, 2009.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.