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Volumn 1, Issue 2, 2001, Pages 143-160

SVMTorch: Support Vector Machines for large-scale regression problems

Author keywords

[No Author keywords available]

Indexed keywords


EID: 0000913324     PISSN: 15324435     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (755)

References (15)
  • 3
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    • Efficient SVM regression training with SMO
    • Flake, G., & Lawrence, S. (2000). Efficient SVM regression training with SMO. (Submitted to Machine Learning. Available at http://external.nj.nec.com/homepages/flake/smorch.ps)
    • (2000) Machine Learning
    • Flake, G.1    Lawrence, S.2
  • 5
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale support vector machine learning practical
    • B. Schölkopf, C. Burges, & A. Smola (Eds.), The MIT Press
    • Joachims, T. (1999). Making large-scale support vector machine learning practical. In B. Schölkopf, C. Burges, & A. Smola (Eds.), Advances in Kernel Methods. The MIT Press.
    • (1999) Advances in Kernel Methods
    • Joachims, T.1
  • 6
    • 0013372215 scopus 로고    scopus 로고
    • (Tech. Rep. No. CD-00-01). Control Division, Dept. of Mechanical and Production Engineering, National University of Singapore
    • Keerthi, S. S., & Gilbert, E. G. (2000). Convergence of a Generalized SMO Algorithm for SVM Classifier Design (Tech. Rep. No. CD-00-01). Control Division, Dept. of Mechanical and Production Engineering, National University of Singapore. (Available at http://guppy.mpe.nus.edu.sg/~mpessk/svm/conv_ml.ps.gz)
    • (2000) Convergence of a Generalized SMO Algorithm for SVM Classifier Design
    • Keerthi, S.S.1    Gilbert, E.G.2
  • 7
    • 0004098720 scopus 로고    scopus 로고
    • Improvements to Platt's SMO Algorithm for SVM Classifier Design
    • (Tech. Rep. No. CD-99-14). Control Division, Dept. of Mechanical and Production Engineering, National University of Singapore
    • Keerthi, S. S., Shevade, S. K., Bhattacharyya, C., & Murthy, K. R. K. (1999). Improvements to Platt's SMO Algorithm for SVM Classifier Design (Tech. Rep. No. CD-99-14). Control Division, Dept. of Mechanical and Production Engineering, National University of Singapore. (To appear in Neural Computation. Available at http://guppy.mpe.nus.edu.sg/~mpessk/smo_mod.ps.gz)
    • (1999) Neural Computation
    • Keerthi, S.S.1    Shevade, S.K.2    Bhattacharyya, C.3    Murthy, K.R.K.4
  • 8
    • 84898947865 scopus 로고    scopus 로고
    • An improved decomposition algorithm for regression support vector machines
    • S. Solla, T. Leen, & K.-R. Müller (Eds.), The MIT Press
    • Laskov, P. (2000). An improved decomposition algorithm for regression support vector machines. In S. Solla, T. Leen, & K.-R. Müller (Eds.), Advances in Neural Information Processing Systems 12. The MIT Press.
    • (2000) Advances in Neural Information Processing Systems , vol.12
    • Laskov, P.1
  • 11
    • 0031334889 scopus 로고    scopus 로고
    • An improved training algorithm for support vector machines
    • J. Principe, L. Giles, N. Morgan, & E. Wilson (Eds.), New York: IEEE Press
    • Osuna, E., Freund, R., & Girosi, F. (1997). An improved training algorithm for support vector machines. In J. Principe, L. Giles, N. Morgan, & E. Wilson (Eds.), Neural Networks for Signal Processing VII - Proceedings of the 1997 IEEE Workshop (pp. 276-285). New York: IEEE Press.
    • (1997) Neural Networks for Signal Processing VII - Proceedings of the 1997 IEEE Workshop , pp. 276-285
    • Osuna, E.1    Freund, R.2    Girosi, F.3
  • 12
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • B. Schölkopf, C. Burges, & A. Smola (Eds.), The MIT Press
    • Platt, J. C. (1999). Fast training of support vector machines using sequential minimal optimization. In B. Schölkopf, C. Burges, & A. Smola (Eds.), Advances in Kernel Methods. The MIT Press.
    • (1999) Advances in Kernel Methods
    • Platt, J.C.1
  • 14
    • 0003401675 scopus 로고    scopus 로고
    • (Tech. Rep. No. NeuroCOLT NC-TR-98-030). Royal Holloway College,University of London, UK
    • Smola, A., & Schölkopf, B. (1998). A Tutorial on Support Vector Regression (Tech. Rep. No. NeuroCOLT NC-TR-98-030). Royal Holloway College,University of London, UK.
    • (1998) A Tutorial on Support Vector Regression
    • Smola, A.1    Schölkopf, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.