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Volumn 41, Issue 10, 2014, Pages 4989-4995

Approximating support vector machine with artificial neural network for fast prediction

Author keywords

Approximation; Artificial neural network; Hybrid neural network; Run time speed; Support vector machine

Indexed keywords

FORECASTING; NEURAL NETWORKS; REGRESSION ANALYSIS;

EID: 84896498038     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2014.02.025     Document Type: Article
Times cited : (54)

References (29)
  • 4
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C.J.C. Burges A tutorial on support vector machines for pattern recognition Data Mining and Knowledge Discovery 2 1998 121 167 (Pubitemid 128695475)
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 7
  • 8
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multiclass support vector machines
    • DOI 10.1109/72.991427, PII S1045922702018052
    • C.-W. Hsu, and C.-J. Lin A comparison of methods for multiclass support vector machines IEEE Transactions on Neural Networks 13 2002 415 425 (Pubitemid 34475042)
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.2 , pp. 415-425
    • Hsu, C.-W.1    Lin, C.-J.2
  • 10
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale support vector machine learning practical
    • B. Schölkopf, C.J.C. Burges, A.J. Smola, MIT Press Cambridge, MA, USA
    • T. Joachims Making large-scale support vector machine learning practical B. Schölkopf, C.J.C. Burges, A.J. Smola, Advances in kernel methods: support vector learning 1999 MIT Press Cambridge, MA, USA 169 184
    • (1999) Advances in Kernel Methods: Support Vector Learning , pp. 169-184
    • Joachims, T.1
  • 11
    • 84862797113 scopus 로고    scopus 로고
    • Pattern selection for support vector regression based response modeling
    • D. Kim, and S. Cho Pattern selection for support vector regression based response modeling Expert Systems with Applications 39 2012 8975 8985
    • (2012) Expert Systems with Applications , vol.39 , pp. 8975-8985
    • Kim, D.1    Cho, S.2
  • 12
    • 77957018181 scopus 로고    scopus 로고
    • A hybrid SVM based decision tree
    • Arun Kumar, and M. Gopal A hybrid SVM based decision tree Pattern Recognition 43 2010 3977 3987
    • (2010) Pattern Recognition , vol.43 , pp. 3977-3987
    • Kumar, A.1    Gopal, M.2
  • 14
    • 33750523404 scopus 로고    scopus 로고
    • Adaptive simplification of solution for support vector machine
    • DOI 10.1016/j.patcog.2006.07.005, PII S0031320306003153
    • Q. Li, L. Jiao, and Y. Hao Adaptive simplification of solution for support vector machine Pattern Recognition 40 2007 972 980 (Pubitemid 44667758)
    • (2007) Pattern Recognition , vol.40 , Issue.3 , pp. 972-980
    • Li, Q.1    Jiao, L.2    Hao, Y.3
  • 15
    • 67649213554 scopus 로고    scopus 로고
    • Optimal reduction of solutions for support vector machines
    • H.-J. Lin, and J.P. Yeh Optimal reduction of solutions for support vector machines Applied Mathematics and Computation 214 2009 329 335
    • (2009) Applied Mathematics and Computation , vol.214 , pp. 329-335
    • Lin, H.-J.1    Yeh, J.P.2
  • 20
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • B. Schölkopf, C.J.C. Burges, A.J. Smola, MIT Press Cambridge, MA
    • J.C. Platt Fast training of support vector machines using sequential minimal optimization B. Schölkopf, C.J.C. Burges, A.J. Smola, Advances in kernel methods: Support vector learning 1999 MIT Press Cambridge, MA 185 208
    • (1999) Advances in Kernel Methods: Support Vector Learning , pp. 185-208
    • Platt, J.C.1
  • 21
    • 0033343363 scopus 로고    scopus 로고
    • ANN-DT: An algorithm for extraction of decision trees from artificial neural networks
    • DOI 10.1109/72.809084
    • G.P. Schmitz, C. Aldrich, and F.S. Gouws ANN-DT: An algorithm for extraction of decision trees from artificial neural networks IEEE Transactions on Neural Networks 10 1999 1392 1401 (Pubitemid 30536587)
    • (1999) IEEE Transactions on Neural Networks , vol.10 , Issue.6 , pp. 1392-1401
    • Schmitz, G.P.J.1    Aldrich, C.2    Gouws, F.S.3
  • 22
    • 33847676236 scopus 로고    scopus 로고
    • Neighborhood property-based pattern selection for support vector machines
    • H. Shin, and S. Cho Neighborhood property-based pattern selection for support vector machines Neural Computation 19 2007 816 855
    • (2007) Neural Computation , vol.19 , pp. 816-855
    • Shin, H.1    Cho, S.2
  • 24
    • 4043137356 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • DOI 10.1023/B:STCO.0000035301.49549.88
    • A.J. Smola, and B. Schölkopf A tutorial on support vector regression Statistics and Computing 14 2004 199 222 (Pubitemid 39063488)
    • (2004) Statistics and Computing , vol.14 , Issue.3 , pp. 199-222
    • Smola, A.J.1    Scholkopf, B.2
  • 29
    • 26444533504 scopus 로고    scopus 로고
    • Text categorization using SVMs with Rocchio ensemble for internet information classification
    • Networking and Mobile Computing: Third International Conference, ICCNMC 2005. Proceedings
    • X. Xu, B. Zhang, and Q. Zhong Text categorization using SVMs with rocchio ensemble for internet information classification Proceedings of the third international conference on networking and mobile computing 2005 Springer 1022 1031 (Pubitemid 41435843)
    • (2005) Lecture Notes in Computer Science , vol.3619 , pp. 1022-1031
    • Xu, X.1    Zhang, B.2    Zhong, Q.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.