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Volumn , Issue , 2008, Pages

A discrete-time parallel update algorithm for distributed learning

Author keywords

[No Author keywords available]

Indexed keywords

ITERATIVE METHODS; LEARNING ALGORITHMS; PATTERN RECOGNITION; SUPPORT VECTOR MACHINES;

EID: 77957970684     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icpr.2008.4761268     Document Type: Conference Paper
Times cited : (5)

References (9)
  • 4
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale support vector machine learning practical
    • chapter 11, MIT Press, Cambridge, MA, USA
    • T. Joachims. Making Large-Scale Support Vector Machine Learning Practical, chapter 11, pages 169-184. Advances in Kernel Methods: Support Vector Learning. MIT Press, Cambridge, MA, USA, 1998.
    • (1998) Advances in Kernel Methods: Support Vector Learning , pp. 169-184
    • Joachims, T.1
  • 5
    • 33745795773 scopus 로고    scopus 로고
    • Parallel randomized support vector machine
    • Y. Lu and V. Roychowdhury. Parallel Randomized Support Vector Machine. In Proc. PAKDD, pages 205-214, 2006.
    • (2006) Proc. PAKDD , pp. 205-214
    • Lu, Y.1    Roychowdhury, V.2
  • 8
    • 77954629748 scopus 로고    scopus 로고
    • Active-set methods for support vector machines
    • Springer-Verlag, Berlin, Heidelberg, August
    • M. Vogt and V. Kecman. Active-Set Methods for Support Vector Machines, pages 133-158. Support Vector Machines: Theory and Applications. Springer-Verlag, Berlin, Heidelberg, August 2005.
    • (2005) Support Vector Machines: Theory and Applications , pp. 133-158
    • Vogt, M.1    Kecman, V.2
  • 9
    • 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., 29(4):535-551, 2003.
    • (2003) Parallel Comput. , vol.29 , Issue.4 , pp. 535-551
    • Zanghirati, G.1    Zanni, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.