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Volumn , Issue , 2011, Pages 249-256

Ultra-fast optimization algorithm for sparse multi kernel learning

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION TASKS; CONVERGENCE RATE BOUND; LOSS FUNCTIONS; MULTI-KERNEL; OPTIMIZATION ALGORITHMS; OPTIMIZATION PROCESS; REGULARIZER; SPARSE SOLUTIONS; STATE-OF-THE-ART APPROACH; STATE-OF-THE-ART PERFORMANCE; STOCHASTIC GRADIENT DESCENT METHOD; ULTRA-FAST;

EID: 80053459750     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (54)

References (29)
  • 3
    • 34247849152 scopus 로고    scopus 로고
    • Training a support vector machine in the primal
    • Chapelle, O. Training a support vector machine in the primal. Neural Comput., 19:1155-1178, 2007.
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    • Chapelle, O.1
  • 5
    • 0010442827 scopus 로고    scopus 로고
    • On the algorithmic implementation of multiclass kernel-based vector machines
    • Crammer, K. and Singer, Y. On the algorithmic implementation of multiclass kernel-based vector machines. J. Mach. Learn. Res., 2:265-292, 2002.
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    • Crammer, K.1    Singer, Y.2
  • 9
    • 35348918820 scopus 로고    scopus 로고
    • Logarithmic regret algorithms for online convex optimization
    • DOI 10.1007/s10994-007-5016-8, Special Issue on COLT 2006; Guest Editors: Avrim Blum, Gabor Lugosi and Hans Ulrich Simon
    • Hazan, E., Agarwal, A., and Kale, S. Logarithmic regret algorithms for online convex optimization. Machine Learning, 69(2-3):169-192, 2007. (Pubitemid 47574314)
    • (2007) Machine Learning , vol.69 , Issue.2-3 , pp. 169-192
    • Hazan, E.1    Agarwal, A.2    Kale, S.3
  • 20
    • 85162040739 scopus 로고    scopus 로고
    • Mind the duality gap: Logarithmic regret algorithms for online optimization
    • Shalev-Shwartz, S. and Kakade, S. M. Mind the duality gap: Logarithmic regret algorithms for online optimization. In Adv. Neural. Inform. Process Syst. 21, 2008.
    • (2008) Adv. Neural. Inform. Process Syst. , pp. 21
    • Shalev-Shwartz, S.1    Kakade, S.M.2
  • 27
    • 78649396336 scopus 로고    scopus 로고
    • Dual averaging methods for regularized stochastic learning and online optimization
    • October
    • Xiao, L. Dual averaging methods for regularized stochastic learning and online optimization. J. Mach. Learn. Res., 11:2543-2596, October 2010.
    • (2010) J. Mach. Learn. Res. , vol.11 , pp. 2543-2596
    • Xiao, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.