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Volumn 1, Issue , 2013, Pages 414-417

Deep multiple kernel learning

Author keywords

Deep Learning; Kernels; Multiple Kernel Learning; Support Vector Machine

Indexed keywords

LEARNING ALGORITHMS; NEURAL NETWORKS;

EID: 84899449673     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2013.84     Document Type: Conference Paper
Times cited : (63)

References (6)
  • 3
    • 78149320247 scopus 로고    scopus 로고
    • Rademacher chaos complexities for learning the kernel
    • Y. Ying and C. Campbell, "Rademacher chaos complexities for learning the kernel," Neural Computation, vol. 22, pp. 2858-2886, 2010.
    • (2010) Neural Computation , vol.22 , pp. 2858-2886
    • Ying, Y.1    Campbell, C.2
  • 4
    • 77956508938 scopus 로고    scopus 로고
    • Learning bounds for support vector machines with learned kernels
    • N. Srebro and S. Ben-David, "Learning bounds for support vector machines with learned kernels," in Proceedings of COLT, 2006.
    • (2006) Proceedings of COLT
    • Srebro, N.1    Ben-David, S.2
  • 6
    • 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, vol. 46, pp. 131-159, 2002.
    • (2002) Machine Learning , vol.46 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3    Mukherjee, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.