메뉴 건너뛰기




Volumn 162, Issue 2, 2005, Pages 514-531

Linear programming approaches for multicategory support vector machines

Author keywords

Data mining; Kernel function; Linear programming; Multicategory discriminator; Support vector machine

Indexed keywords

APPROXIMATION THEORY; DATA MINING; DATABASE SYSTEMS; FUNCTIONS; OPTIMIZATION; PERSONNEL TRAINING; QUADRATIC PROGRAMMING;

EID: 9644303414     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2003.09.021     Document Type: Article
Times cited : (23)

References (24)
  • 1
    • 0026860799 scopus 로고
    • Robust linear programming discrimination of two linearly inseparable sets
    • K.P. Bennett, O.L. Mangasarian, Robust linear programming discrimination of two linearly inseparable sets, Optimization Methods and Software 1 (1992) 23-34.
    • (1992) Optimization Methods and Software , vol.1 , pp. 23-34
    • Bennett, K.P.1    Mangasarian, O.L.2
  • 5
    • 0000913324 scopus 로고    scopus 로고
    • SVMTorch: Support vector machines for large-scale regression problems
    • R. Collobert, S. Bengio, 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    Bengio, S.2
  • 6
    • 34249753618 scopus 로고
    • Support-vector networks
    • C. Cortes, V. Vapnik, Support-vector networks, Machine Learning 20 (1995) 273-297.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 10
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • T. Joachims, Text categorization with support vector machines: Learning with many relevant features, Lecture Notes in Computer Science 1398 (1998) 137-142.
    • (1998) Lecture Notes in Computer Science , vol.1398 , pp. 137-142
    • Joachims, T.1
  • 11
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale support vector machine learning practical
    • B. Schölkopf, C. Burges, A. Smola (Eds.), The MIT Press
    • T. Joachims, Making large-scale support vector machine learning practical, in: B. Schölkopf, C. Burges, A. Smola (Eds.), Advances in Kernel Methods, The MIT Press, 1999, pp. 169-184.
    • (1999) Advances in Kernel Methods , pp. 169-184
    • Joachims, T.1
  • 16
    • 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
    • J.C. Platt, 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, pp. 185-208.
    • (1999) Advances in Kernel Methods , pp. 185-208
    • Platt, J.C.1
  • 19
    • 0002570938 scopus 로고    scopus 로고
    • Kernel principal component analysis
    • B. Schölkopf, C. Burges, A. Smola (Eds.), The MIT Press
    • B. Schölkopf, A.J. Smola, K. Müeller, Kernel principal component analysis, in: B. Schölkopf, C. Burges, A. Smola (Eds.), Advances in Kernel Methods, The MIT Press, 1999, pp. 327-352.
    • (1999) Advances in Kernel Methods , pp. 327-352
    • Schölkopf, B.1    Smola, A.J.2    Müeller, K.3
  • 20
    • 0000629975 scopus 로고
    • Cross-validatory choice and assessment of statistical predictions
    • M. Stone, Cross-validatory choice and assessment of statistical predictions, Journal of the Royal Statistical Society 36 (1974) 111-147.
    • (1974) Journal of the Royal Statistical Society , vol.36 , pp. 111-147
    • Stone, M.1
  • 23
    • 0003425673 scopus 로고    scopus 로고
    • Multi-class support vector machines
    • Royal Holloway, University of London
    • J. Weston, C. Watkins, Multi-class support vector machines, Technical Report CSD-TR-98-04, Royal Holloway, University of London, 1998.
    • (1998) Technical Report , vol.CSD-TR-98-04
    • Weston, J.1    Watkins, C.2
  • 24
    • 9644296864 scopus 로고    scopus 로고
    • Extracting feature subspace for kernel based support vector machines
    • tech. rep., Department of Industrial Engineering and Management, Tokyo Institute of Technology
    • Y. Yajima, H. Ohi, M. Mon, Extracting feature subspace for kernel based support vector machines, tech. rep., Technical Report 2001-5, Department of Industrial Engineering and Management, Tokyo Institute of Technology, 2001.
    • (2001) Technical Report , vol.2001 , Issue.5
    • Yajima, Y.1    Ohi, H.2    Mon, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.