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Volumn , Issue , 2008, Pages

Random features for large-scale kernel machines

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS;

EID: 85161980201     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2535)

References (17)
  • 2
    • 0041657519 scopus 로고    scopus 로고
    • Interior-point methods for massive support vector machines
    • DOI 10.1137/S1052623400374379, PII S1052623400374379
    • M. C. Ferris and T. S. Munson. Interior-point methods for massive Support Vector Machines. SIAM Journal of Optimization, 13(3):783-804, 2003. (Pubitemid 36971112)
    • (2003) SIAM Journal on Optimization , vol.13 , Issue.3 , pp. 783-804
    • Ferris, M.C.1    Munson, T.S.2
  • 4
    • 1942517317 scopus 로고    scopus 로고
    • Fast query-optimized kernel machine classification via incremental approximate nearest support vectors
    • D. DeCoste and D. Mazzoni. Fast query-optimized kernel machine classification via incremental approximate nearest support vectors. In IEEE International Conference on Machine Learning (ICML), 2003.
    • (2003) IEEE International Conference on Machine Learning (ICML)
    • Decoste, D.1    Mazzoni, D.2
  • 10
    • 26944440870 scopus 로고    scopus 로고
    • On the nystrom method for approximating a Gram matrix for improved kernel-based learning
    • P. Drineas and M. W. Mahoney. On the nystrom method for approximating a Gram matrix for improved kernel-based learning. In COLT, pages 323-337, 2005.
    • (2005) COLT , pp. 323-337
    • Drineas, P.1    Mahoney, M.W.2
  • 15
    • 0003535075 scopus 로고
    • Wiley Classics Library. Wiley-Interscience, New York, reprint edition edition
    • W. Rudin. Fourier Analysis on Groups. Wiley Classics Library. Wiley-Interscience, New York, reprint edition edition, 1994.
    • (1994) Fourier Analysis on Groups
    • Rudin, W.1
  • 16
    • 33847169137 scopus 로고    scopus 로고
    • Comments on the "Core vector machines: Fast SVM training on very large data sets"
    • G. Loosli and S. Canu. Comments on the 'Core Vector Machines: Fast SVM training on very large data sets'. Journal of Machine Learning Research (JMLR), 8:291-301, February 2007. (Pubitemid 46280176)
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 291-301
    • Loosli, G.1    Canu, S.2
  • 17
    • 0036071370 scopus 로고    scopus 로고
    • On the mathematical foundations of learning
    • F. Cucker and S. Smale. On the mathematical foundations of learning. Bull. Amer. Soc., 39:1-49, 2001.
    • (2001) Bull. Amer. Soc. , vol.39 , pp. 1-49
    • Cucker, F.1    Smale, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.