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Volumn 3695 LNBI, Issue , 2005, Pages 253-264

Parallel tuning of support vector machine learning parameters for large and unbalanced data sets

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CORRELATION METHODS; LEARNING SYSTEMS; MATHEMATICAL MODELS; PARALLEL PROCESSING SYSTEMS;

EID: 32144463893     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11560500_23     Document Type: Conference Paper
Times cited : (17)

References (21)
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    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • Schölkopf, B., Surges, C.J.C., Smola, A.J., eds., Cambridge, MA, MIT Press
    • Platt, J.: Fast training of support vector machines using sequential minimal optimization. In Schölkopf, B., Surges, C.J.C., Smola, A.J., eds.: Advances in Kernel Methods - Support Vector Learning, Cambridge, MA, MIT Press (1999) 185-208
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 185-208
    • Platt, J.1
  • 6
    • 0036158552 scopus 로고    scopus 로고
    • A simple decomposition method for support vector machines
    • Hsu, C.W., Lin, C.J.: A simple decomposition method for support vector machines. Machine Learning 46 (2002) 291-314
    • (2002) Machine Learning , vol.46 , pp. 291-314
    • Hsu, C.W.1    Lin, C.J.2
  • 7
    • 12444278992 scopus 로고    scopus 로고
    • Gradient projection methods for quadratic programs and applications in training support vector machines
    • Serafini, T., Zanghirati, G., Zanni, L.: Gradient projection methods for quadratic programs and applications in training support vector machines. Optimization Methods and Software 20 (2005) 353-378
    • (2005) Optimization Methods and Software , vol.20 , pp. 353-378
    • Serafini, T.1    Zanghirati, G.2    Zanni, L.3
  • 8
    • 0000859664 scopus 로고
    • An algorithm for a singly constrained class of quadratic programs subject to upper and lower bounds
    • Pardalos, P.M., Kovoor, N.: An algorithm for a singly constrained class of quadratic programs subject to upper and lower bounds. Mathematical Programming 46 (1990) 321-328
    • (1990) Mathematical Programming , vol.46 , pp. 321-328
    • Pardalos, P.M.1    Kovoor, N.2
  • 10
    • 0037378238 scopus 로고    scopus 로고
    • A parallel solver for large quadratic programs in training support vector machines
    • Zanghirati, G., Zanni, L.: A parallel solver for large quadratic programs in training support vector machines. Parallel Computing 29 (2003) 535-551
    • (2003) Parallel Computing , vol.29 , pp. 535-551
    • Zanghirati, G.1    Zanni, L.2
  • 11
    • 0036583160 scopus 로고    scopus 로고
    • A parallel mixture of SVMs for very large scale problems
    • Collobert, R., Bengio, S., Bengio, Y.: A parallel mixture of SVMs for very large scale problems. Neural Computation 14 (2002) 1105-1114
    • (2002) Neural Computation , vol.14 , pp. 1105-1114
    • Collobert, R.1    Bengio, S.2    Bengio, Y.3
  • 13
    • 33646175301 scopus 로고    scopus 로고
    • Weka-parallel: Machine learning in parallel
    • Carleton College
    • Celis, S., Musicant, D.R.: Weka-parallel: machine learning in parallel. Computer Science Technical Report 2002b, Carleton College (2002)
    • (2002) Computer Science Technical Report , vol.2002 B
    • Celis, S.1    Musicant, D.R.2
  • 15
    • 33646127948 scopus 로고    scopus 로고
    • APPSPACK 4.0: Asynchronous parallel pattern search for derivative-free optimization
    • Sandia National Laboratories, Livermore, CA
    • Gray, G.A., Kolda, T.G.: APPSPACK 4.0: asynchronous parallel pattern search for derivative-free optimization. Sandia Report SAND2004-6391, Sandia National Laboratories, Livermore, CA (2004)
    • (2004) Sandia Report , vol.SAND2004-6391
    • Gray, G.A.1    Kolda, T.G.2
  • 17
    • 0006588661 scopus 로고
    • Synthesis and performance analysis of multilayer neural network architectures
    • University of Koblenz
    • Schiffmann, W., Joost, M., Werner, R.: Synthesis and performance analysis of multilayer neural network architectures. Technical Report 16/1992, University of Koblenz (1992)
    • (1992) Technical Report , vol.16 , Issue.1992
    • Schiffmann, W.1    Joost, M.2    Werner, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.