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Volumn 13, Issue 3, 2001, Pages 637-649

Improvements to Platt's SMO algorithm for SVM classifier design

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Indexed keywords


EID: 0000545946     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976601300014493     Document Type: Article
Times cited : (1466)

References (12)
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    • Support vector networks: The kernel adatron with bias and soft-margin
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    • Friess, T. T. (1998). Support vector networks: The kernel Adatron with bias and soft-margin (Tech. Rep.). Sheffield, England: University of Sheffield, Department of Automatic Control and Systems Engineering.
    • (1998) Tech. Rep.
    • Friess, T.T.1
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    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale support vector machine learning practical
    • B. Schölkopf, C. Burges, & A. Smola (Eds.). Cambridge, MA: MIT Press
    • Joachims, T. (1998). Making large-scale support vector machine learning practical. In B. Schölkopf, C. Burges, & A. Smola (Eds.), Advances in kernel methods: Support vector machines. Cambridge, MA: MIT Press.
    • (1998) Advances in Kernel Methods: Support Vector Machines
    • Joachims, T.1
  • 5
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    • Bangalore, India: Intelligent Systems Lab, Department of Computer Science and Automation, Indian Institute of Science
    • Keerthi, S. S., Shevade, S. K., Bhattacharyya, C., & Murthy, K. R. K. (1999a). A fast iterative nearest point algorithm for support vector machine classifier design (Tech. Rep. No. TR-ISL-99-03). Bangalore, India: Intelligent Systems Lab, Department of Computer Science and Automation, Indian Institute of Science. Available online at: http://guppy.mpe.nus.edu.sg/~mpessk.
    • (1999) Tech. Rep. No. TR-ISL-99-03
    • Keerthi, S.S.1    Shevade, S.K.2    Bhattacharyya, C.3    Murthy, K.R.K.4
  • 6
    • 0004098720 scopus 로고    scopus 로고
    • Improvements to Platt's SMO algorithm for SVM classifier design
    • Singapore: Control Division, Department of Mechanical and Production Engineering, National University of Singapore
    • Keerthi, S. S., Shevade, S. K., Bhattacharyya, C., & Murthy, K. R. K. (1999b). Improvements to Platt's SMO algorithm for SVM classifier design (Tech. Rep. No. CD-99-14). Singapore: Control Division, Department of Mechanical and Production Engineering, National University of Singapore. Available online at: http://guppy.mpe.nus.edu.sg/~mpessk.
    • (1999) Tech. Rep. No. CD-99-14
    • Keerthi, S.S.1    Shevade, S.K.2    Bhattacharyya, C.3    Murthy, K.R.K.4
  • 7
    • 0010225644 scopus 로고    scopus 로고
    • Successive overrelaxation for support vector machines
    • Madison, WI: Computer Sciences Department, University of Wisconsin
    • Mangasarian, O. L., & Musicant, D. R. (1998). Successive overrelaxation for support vector machines (Tech. Rep.). Madison, WI: Computer Sciences Department, University of Wisconsin.
    • (1998) Tech. Rep.
    • Mangasarian, O.L.1    Musicant, D.R.2
  • 8
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • B. Schölkopf, C. Burges, & A. Smola (Eds.). Cambridge, MA: MIT Press
    • Platt, J. C. (1998). Fast training of support vector machines using sequential minimal optimization. In B. Schölkopf, C. Burges, & A. Smola (Eds.), Advances in kernel methods: Support vector machines. Cambridge, MA: MIT Press.
    • (1998) Advances in Kernel Methods: Support Vector Machines
    • Platt, J.C.1
  • 9
    • 0001171722 scopus 로고    scopus 로고
    • Using sparseness and analytic QP to speed training of support vector machines
    • M. S. Kearns, S. A. Solla and D. A. Cohn (Eds.). Cambridge, MA: MIT Press
    • Platt, J. C. (1999). Using sparseness and analytic QP to speed training of support vector machines. In M. S. Kearns, S. A. Solla and D. A. Cohn (Eds.), Advances in neural information processing systems, 11. Cambridge, MA: MIT Press.
    • (1999) Advances in Neural Information Processing Systems , vol.11
    • Platt, J.C.1
  • 10
    • 0004098722 scopus 로고    scopus 로고
    • Improvements to the SMO algorithm for SVM regression
    • Singapore: Control Division, Department of Mechanical and Production Engineering, National University of Singapore
    • Shevade, S. K., Keerthi, S. S., Bhattacharyya, C., & Murthy, K. R. K. (1999). Improvements to the SMO algorithm for SVM regression (Tech. Rep. No. CD-99-16). Singapore: Control Division, Department of Mechanical and Production Engineering, National University of Singapore. Available online at: http://guppy.mpe.nus.edu.sg/~mpessk.
    • (1999) Tech. Rep. No. CD-99-16
    • Shevade, S.K.1    Keerthi, S.S.2    Bhattacharyya, C.3    Murthy, K.R.K.4
  • 11
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    • Unpublished doctoral dissertation, Technische Universität Berlin
    • Smola, A. J. (1998). Learning with kernels. Unpublished doctoral dissertation, Technische Universität Berlin.
    • (1998) Learning with Kernels
    • Smola, A.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.