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Volumn , Issue , 2009, Pages 2546-2551

A distributed machine learning framework

Author keywords

[No Author keywords available]

Indexed keywords

ITERATIVE METHODS; STOCHASTIC SYSTEMS; SUPPORT VECTOR MACHINES;

EID: 77950834607     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2009.5399634     Document Type: Conference Paper
Times cited : (13)

References (14)
  • 4
    • 0347082050 scopus 로고    scopus 로고
    • chapter 11 Advances in Kernel Methods: Support Vector Learning. MIT Press, Cambridge, MA, USA
    • T. Joachims, Making Large-Scale Support Vector Machine Learning Practical, chapter 11, pp. 169-184, Advances in Kernel Methods: Support Vector Learning. MIT Press, Cambridge, MA, USA, 1998.
    • (1998) Making Large-Scale Support Vector Machine Learning Practical , pp. 169-184
    • Joachims, T.1
  • 6
    • 33745795773 scopus 로고    scopus 로고
    • Parallel Randomized Support Vector Machine
    • Y. Lu and V. Roychowdhury, "Parallel Randomized Support Vector Machine," in Proc. PAKDD, 2006, pp. 205-214.
    • (2006) Proc. PAKDD , pp. 205-214
    • Lu, Y.1    Roychowdhury, V.2
  • 7
    • 0037378238 scopus 로고    scopus 로고
    • A parallel solver for large quadratic programs in training support vector machines
    • G. Zanghirati and L. Zanni, "A parallel solver for large quadratic programs in training support vector machines," Parallel Comput., vol.29, no.4, pp. 535-551, 2003.
    • (2003) Parallel Comput. , vol.29 , Issue.4 , pp. 535-551
    • Zanghirati, G.1    Zanni, L.2
  • 8
    • 85032752026 scopus 로고    scopus 로고
    • Distributed learning in wireless sensor networks
    • July
    • J. B. Predd, S. B. Kulkarni, and H. V. Poor, "Distributed learning in wireless sensor networks," IEEE Signal Processing Magazine, vol.23, no.4, pp. 56-69, July 2006.
    • (2006) IEEE Signal Processing Magazine , vol.23 , Issue.4 , pp. 56-69
    • Predd, J.B.1    Kulkarni, S.B.2    Poor, H.V.3
  • 9
    • 77954629748 scopus 로고    scopus 로고
    • Support Vector Machines: Theory and Applications. Springer-Verlag, Berlin, Heidelberg, August
    • M. Vogt and V. Kecman, Active-Set Methods for Support Vector Machines, pp. 133-158, Support Vector Machines: Theory and Applications. Springer-Verlag, Berlin, Heidelberg, August 2005.
    • (2005) Active-Set Methods for Support Vector Machines , pp. 133-158
    • Vogt, M.1    Kecman, V.2
  • 10
    • 2442593945 scopus 로고    scopus 로고
    • Active set support vector regression
    • March
    • D. R. Musicant and A. Feinberg, "Active set support vector regression," IEEE Trans. on Neural Networks, vol.15, no.2, pp. 268- 275, March 2004.
    • (2004) IEEE Trans. on Neural Networks , vol.15 , Issue.2 , pp. 268-275
    • Musicant, D.R.1    Feinberg, A.2
  • 11
    • 33745798002 scopus 로고    scopus 로고
    • An efficient implementation of an active set method for svms
    • December
    • K. Scheinberg, "An efficient implementation of an active set method for svms," J. of Machine Learning Research, vol.7, pp. 2237-2257, December 2006.
    • (2006) J. of Machine Learning Research , vol.7 , pp. 2237-2257
    • Scheinberg, K.1
  • 12
    • 52449088134 scopus 로고    scopus 로고
    • Power control for multicell CDMA wireless networks: A team optimization approach
    • p. (online first)
    • T. Alpcan, X. Fan, T. Başar, M. Arcak, and J. T. Wen, "Power control for multicell CDMA wireless networks: A team optimization approach," Wireless Networks, p. (online first), 2007.
    • (2007) Wireless Networks
    • Alpcan, T.1    Fan, X.2    Başar, T.3    Arcak, M.4    Wen, J.T.5
  • 14
    • 77950823322 scopus 로고    scopus 로고
    • The return of the active set method
    • S. Leyffer, "The return of the active set method," Oberwolfach Reports, vol.2, no.1, 2005.
    • (2005) Oberwolfach Reports , vol.2 , Issue.1
    • Leyffer, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.