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Volumn 13, Issue C, 2004, Pages 259-266

Parallel decomposition approaches for training support vector machines

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EID: 33646137939     PISSN: 09275452     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0927-5452(04)80035-2     Document Type: Article
Times cited : (6)

References (12)
  • 1
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    • (1988) IMA J. Numer. Anal. , vol.8 , pp. 141-148
    • Barzilai, J.1    Borwein, J.M.2
  • 4
    • 0000913324 scopus 로고    scopus 로고
    • SVMTorch: Support Vector Machines for Large-Scale Regression Problems
    • Collobert R., and Benjo S. SVMTorch: Support Vector Machines for Large-Scale Regression Problems. Journal of Machine Learning Research 1 (2001) 143-160
    • (2001) Journal of Machine Learning Research , vol.1 , pp. 143-160
    • Collobert, R.1    Benjo, S.2
  • 5
    • 0002714543 scopus 로고    scopus 로고
    • Making Large-Scale SVM Learning Practical
    • Schölkopf B., et al. (Ed), MIT Press, Belmont, MA
    • Joachims T. Making Large-Scale SVM Learning Practical. In: Schölkopf B., et al. (Ed). Advances in Kernel Methods (1998), MIT Press, Belmont, MA
    • (1998) Advances in Kernel Methods
    • Joachims, T.1
  • 6
    • 0035506741 scopus 로고    scopus 로고
    • On the Convergence of the Decomposition Method for Support Vector Machines
    • Lin C.J. On the Convergence of the Decomposition Method for Support Vector Machines. IEEE Transactions on Neural Networks 12 6 (2001) 1288-1298
    • (2001) IEEE Transactions on Neural Networks , vol.12 , Issue.6 , pp. 1288-1298
    • Lin, C.J.1
  • 7
    • 0003120218 scopus 로고    scopus 로고
    • Fast Training of Support Vector Machines using Sequential Minimal Optimization
    • Schölkopf B., et al. (Ed), MIT Press, Cambridge, MA
    • Platt J.C. Fast Training of Support Vector Machines using Sequential Minimal Optimization. In: Schölkopf B., et al. (Ed). Advances in Kernel Methods (1998), MIT Press, Cambridge, MA
    • (1998) Advances in Kernel Methods
    • Platt, J.C.1
  • 8
    • 0034134885 scopus 로고    scopus 로고
    • A Modified Projection Algorithm for Large Strictly Convex Quadratic Programs
    • Ruggiero V., and Zanni L. A Modified Projection Algorithm for Large Strictly Convex Quadratic Programs. J. Optim. Theory Appl. 104 2 (2000) 281-299
    • (2000) J. Optim. Theory Appl. , vol.104 , Issue.2 , pp. 281-299
    • Ruggiero, V.1    Zanni, L.2
  • 9
    • 0012540092 scopus 로고    scopus 로고
    • Variable Projection Methods for Large Convex Quadratic Programs
    • Recent Trends in Numerical Analysis. Triginate D. (Ed), Nova Science Publ., Cambridge, MA
    • Ruggiero V., and Zanni L. Variable Projection Methods for Large Convex Quadratic Programs. In: Triginate D. (Ed). Recent Trends in Numerical Analysis. Advances in the Theory of Computational Mathematics 3 (2000), Nova Science Publ., Cambridge, MA 299-313
    • (2000) Advances in the Theory of Computational Mathematics , vol.3 , pp. 299-313
    • Ruggiero, V.1    Zanni, L.2
  • 12
    • 0037378238 scopus 로고    scopus 로고
    • A Parallel Solver for Large Quadratic Programs in Training Support Vector Machines
    • Zanghirati G., and Zanni L. A Parallel Solver for Large Quadratic Programs in Training Support Vector Machines. Parallel Computing 29 4 (2003) 535-551
    • (2003) Parallel Computing , vol.29 , Issue.4 , pp. 535-551
    • Zanghirati, G.1    Zanni, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.