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Volumn , Issue , 2010, Pages 189-194

Sparse LS-SVMs with L0-norm minimization

Author keywords

[No Author keywords available]

Indexed keywords

ITERATIVE APPROXIMATIONS; LEAST SQUARES SUPPORT VECTOR MACHINES; LOSS OF ACCURACY; REAL-WORLD; SPARSE MODELS; SVM CLASSIFIERS;

EID: 84887056842     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (15)
  • 1
    • 0032638628 scopus 로고    scopus 로고
    • Least Squares Support Vector Machine Classifiers
    • J.A.K. Suykens and J. Vandewalle. Least Squares Support Vector Machine Classifiers. Neural Processing Letters, 9(3):293-300, 1999.
    • (1999) Neural Processing Letters , vol.9 , Issue.3 , pp. 293-300
    • Suykens, J.A.K.1    Vandewalle, J.2
  • 2
    • 0033684572 scopus 로고    scopus 로고
    • Sparse Approximation using Least Squares Support Vector Machines
    • J.A.K. Suykens, L. Lukas, and J. Vandewalle. Sparse Approximation using Least Squares Support Vector Machines. In Proceedings of ISCAS'00, pages 757-760, 2000.
    • (2000) Proceedings of ISCAS'00 , pp. 757-760
    • Suykens, J.A.K.1    Lukas, L.2    Vandewalle, J.3
  • 3
    • 33745189418 scopus 로고    scopus 로고
    • Improved Sparse Least-Squares Support Vector Machine Classifiers
    • Y. Li, C. Lin, and W. Zhang. Improved Sparse Least-Squares Support Vector Machine Classifiers. Neurocomputing, 69(13-15):1655-1658, 2006.
    • (2006) Neurocomputing , vol.69 , Issue.13-15 , pp. 1655-1658
    • Li, Y.1    Lin, C.2    Zhang, W.3
  • 4
    • 79751524883 scopus 로고    scopus 로고
    • First and Second Order SMO Algorithms for LS-SVM classifiers
    • J. López and J.A.K. Suykens. First and Second Order SMO Algorithms for LS-SVM classifiers. Neural Processing Letters, 33(1):31-44, 2011.
    • (2011) Neural Processing Letters , vol.33 , Issue.1 , pp. 31-44
    • López, J.1    Suykens, J.A.K.2
  • 5
    • 28244453270 scopus 로고    scopus 로고
    • SMO-based Pruning Methods for Sparse Least Squares Support Vector Machines
    • X. Zeng and X.W. Chen. SMO-based Pruning Methods for Sparse Least Squares Support Vector Machines. IEEE Transactions on Neural Networks, 16(6):1541-1546, 2005.
    • (2005) IEEE Transactions On Neural Networks , vol.16 , Issue.6 , pp. 1541-1546
    • Zeng, X.1    Chen, X.W.2
  • 6
    • 0037507242 scopus 로고    scopus 로고
    • Pruning Error Minimization in Least-Squares Support Vector Machines
    • B.J. De Kruif and T.J.A. De Vries. Pruning Error Minimization in Least-Squares Support Vector Machines. IEEE Transactions on Neural Networks, 14(3):696-702, 2003.
    • (2003) IEEE Transactions On Neural Networks , vol.14 , Issue.3 , pp. 696-702
    • de Kruif, B.J.1    de Vries, T.J.A.2
  • 8
    • 10944225893 scopus 로고    scopus 로고
    • A Sparse Least Squares Support Vector Machine Classifier
    • J. Valyon and G. Horvath. A Sparse Least Squares Support Vector Machine Classifier. In Proceedings of IJCNN'04, pages 543-548, 2004.
    • (2004) Proceedings of IJCNN'04 , pp. 543-548
    • Valyon, J.1    Horvath, G.2
  • 11
    • 4344609320 scopus 로고    scopus 로고
    • University of California Irvin, Datasets available at
    • University of California Irvine. UCI Machine Learning Repository. Datasets available at http://archive.ics.uci.edu/ml.
    • UCI Machine Learning Repository


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.