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Volumn 21, Issue 2, 2012, Pages 399-407

Training twin support vector regression via linear programming

Author keywords

Nonparallel planes; Regression; Support vector machine; Twin support vector machine

Indexed keywords

BENCHMARK DATASETS; COMPUTATIONAL TIME; GENERALIZATION PERFORMANCE; LINEAR PROGRAMMING PROBLEM; NONPARALLEL PLANES; QUADRATIC PROGRAMMING PROBLEMS; REGRESSION; SUPPORT VECTOR REGRESSIONS; TWIN SUPPORT VECTOR MACHINES;

EID: 84857646348     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-011-0525-6     Document Type: Article
Times cited : (47)

References (31)
  • 1
    • 0242288816 scopus 로고    scopus 로고
    • A geometric approach to support vector regression
    • Bi J, Bennett KP (2003) A geometric approach to support vector regression. Neurocomputing 55: 79-108.
    • (2003) Neurocomputing , vol.55 , pp. 79-108
    • Bi, J.1    Bennett, K.P.2
  • 4
    • 0346250790 scopus 로고    scopus 로고
    • Practical selection of SVM parameters and noise estimation for SVM regression
    • Cherkassky V, Ma YQ (2004) Practical selection of SVM parameters and noise estimation for SVM regression. Neural Netw 17: 113-126.
    • (2004) Neural Netw , vol.17 , pp. 113-126
    • Cherkassky, V.1    Ma, Y.Q.2
  • 7
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • Demšar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res 7: 1-30.
    • (2006) J Mach Learn Res , vol.7 , pp. 1-30
    • Demšar, J.1
  • 8
    • 57749189368 scopus 로고    scopus 로고
    • Nonparallel plane proximal classifier
    • Ghorai S, Mukherjee A, Dutta PK (2009) Nonparallel plane proximal classifier. Signal Proc 89: 510-522.
    • (2009) Signal Proc , vol.89 , pp. 510-522
    • Ghorai, S.1    Mukherjee, A.2    Dutta, P.K.3
  • 9
    • 69249202291 scopus 로고    scopus 로고
    • Newton's method for nonparallel plane proximal classifier with unity norm hyperplanes
    • Ghorai S, Hossain SJ, Mukherjee A, Dutta PK (2010) Newton's method for nonparallel plane proximal classifier with unity norm hyperplanes. Signal Proc 90: 93-104.
    • (2010) Signal Proc , vol.90 , pp. 93-104
    • Ghorai, S.1    Hossain, S.J.2    Mukherjee, A.3    Dutta, P.K.4
  • 11
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • B. Schölkopf, C. J. C. Burges, and A. J. Smola (Eds.), Cambridge: MIT Press
    • Joachims T (1999) Making large-scale SVM learning practical. In: Schölkopf B, Burges CJC, Smola AJ (eds) Advances in Kernel methods-support vector learning. MIT Press, Cambridge, pp 169-184.
    • (1999) Advances in Kernel Methods-Support Vector Learning , pp. 169-184
    • Joachims, T.1
  • 12
    • 34248636293 scopus 로고    scopus 로고
    • Fast sparse approximation for least squares support vector machine
    • Jiao L, Bo L, Wang L (2007) Fast sparse approximation for least squares support vector machine. IEEE Trans Neural Netw 18(3): 685-697.
    • (2007) IEEE Trans Neural Netw , vol.18 , Issue.3 , pp. 685-697
    • Jiao, L.1    Bo, L.2    Wang, L.3
  • 13
    • 0000545946 scopus 로고    scopus 로고
    • Improvements to Platt's SMO algorithm for SVM classifier design
    • Keerthi SS, Shevade SK, Bhattacharyya C, Murthy K (2001) Improvements to Platt's SMO algorithm for SVM classifier design. Neural Comput 13(3): 637-649.
    • (2001) Neural Comput , vol.13 , Issue.3 , pp. 637-649
    • Keerthi, S.S.1    Shevade, S.K.2    Bhattacharyya, C.3    Murthy, K.4
  • 14
    • 0037313407 scopus 로고    scopus 로고
    • SMO algorithm for least squares SVM formulations
    • Keerthi SS, Shevade SK (2003) SMO algorithm for least squares SVM formulations. Neural Comput 15(2): 487-507.
    • (2003) Neural Comput , vol.15 , Issue.2 , pp. 487-507
    • Keerthi, S.S.1    Shevade, S.K.2
  • 15
    • 48649097170 scopus 로고    scopus 로고
    • Application of smoothing technique on twin support vector machines
    • Kumar MA, Gopal M (2008) Application of smoothing technique on twin support vector machines. Pattern Recogn Lett 29: 1842-1848.
    • (2008) Pattern Recogn Lett , vol.29 , pp. 1842-1848
    • Kumar, M.A.1    Gopal, M.2
  • 16
    • 60249095678 scopus 로고    scopus 로고
    • Least squares twin support vector machines for pattern classification
    • Kumar MA, Gopal M (2009) Least squares twin support vector machines for pattern classification. Expert Syst Appl 36: 7535-7543.
    • (2009) Expert Syst Appl , vol.36 , pp. 7535-7543
    • Kumar, M.A.1    Gopal, M.2
  • 17
    • 0037507242 scopus 로고    scopus 로고
    • Pruning error minimization in least squares support vector machines
    • Kruif BJ, Vries A (2004) Pruning error minimization in least squares support vector machines. IEEE Trans Neural Netw 14(3): 696-702.
    • (2004) IEEE Trans Neural Netw , vol.14 , Issue.3 , pp. 696-702
    • Kruif, B.J.1    Vries, A.2
  • 18
    • 19944407892 scopus 로고    scopus 로고
    • e{open}-SSVR: A smooth support vector machine fore{open} -insensitive regression
    • Lee Y-J, Hsieh W-F, Huang C-M (2005) e{open}-SSVR: a smooth support vector machine fore{open} -insensitive regression. IEEE Trans Knowl Data Eng 17(5): 678-685.
    • (2005) IEEE Trans Knowl Data Eng , vol.17 , Issue.5 , pp. 678-685
    • Lee, Y.-J.1    Hsieh, W.-F.2    Huang, C.-M.3
  • 19
    • 33644830072 scopus 로고    scopus 로고
    • Multisurface proximal support vector classification via generalized eigenvalues
    • Mangasarian OL, Wild EW (2006) Multisurface proximal support vector classification via generalized eigenvalues. IEEE Trans Pattern Anal Mach Intell 28(1): 69-74.
    • (2006) IEEE Trans Pattern Anal Mach Intell , vol.28 , Issue.1 , pp. 69-74
    • Mangasarian, O.L.1    Wild, E.W.2
  • 20
    • 33745801137 scopus 로고    scopus 로고
    • Exact 1-norm support vector machine via unconstrained convex differentiable minimization
    • Mangasarian OL (2006) Exact 1-norm support vector machine via unconstrained convex differentiable minimization. J Mach Learn Res 7: 1517-1530.
    • (2006) J Mach Learn Res , vol.7 , pp. 1517-1530
    • Mangasarian, O.L.1
  • 23
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • B. Schölkopf, C. J. C. Burges, and A. J. Smola (Eds.), Cambridge: MIT Press
    • Platt JC (1999) Fast training of support vector machines using sequential minimal optimization. In: Schölkopf B, Burges CJC, Smola AJ (eds) Advances in kernel methods-support vector learning. MIT Press, Cambridge, pp 185-208.
    • (1999) Advances in Kernel Methods-Support Vector Learning , pp. 185-208
    • Platt, J.C.1
  • 25
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers
    • Suykens JAK, Vandewalle J (1999) Least squares support vector machine classifiers. Neural Proc Lett 9(3): 293-300.
    • (1999) Neural Proc Lett , vol.9 , Issue.3 , pp. 293-300
    • Suykens, J.A.K.1    Vandewalle, J.2
  • 29
    • 10244219830 scopus 로고    scopus 로고
    • A heuristic training for support vector regression
    • Wang W, Xu Z (2004) A heuristic training for support vector regression. Neurocomputing 61: 259-275.
    • (2004) Neurocomputing , vol.61 , pp. 259-275
    • Wang, W.1    Xu, Z.2
  • 30
    • 28244453270 scopus 로고    scopus 로고
    • SMO-based pruning methods for sparse least squares support vector machines
    • Zeng XY, Chen XW (2005) SMO-based pruning methods for sparse least squares support vector machines. IEEE Trans Neural Netw 16(6): 1541-1546.
    • (2005) IEEE Trans Neural Netw , vol.16 , Issue.6 , pp. 1541-1546
    • Zeng, X.Y.1    Chen, X.W.2
  • 31
    • 58249091399 scopus 로고    scopus 로고
    • Recursive reduced least squares support vector regression
    • Zhao Y, Sun J (2009) Recursive reduced least squares support vector regression. Pattern Recogn 42: 837-842.
    • (2009) Pattern Recogn , vol.42 , pp. 837-842
    • Zhao, Y.1    Sun, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.