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Volumn , Issue , 2008, Pages

Fast regularized kernel function approximation

Author keywords

Function approximation; Kernel method; Reduced kernel; Regression analysis; Support vector regression

Indexed keywords

COMPUTATIONAL RESULTS; FUNCTION APPROXIMATION; KERNEL FUNCTIONS; KERNEL METHOD; LARGE DATABASE; OBJECTIVE FUNCTIONS; PREDICTION ERRORS; QUADRATIC FUNCTIONS; QUADRATIC PROGRAMMING PROBLEMS; REAL-WORLD DATUM; REDUCED KERNEL; REGRESSION FUNCTIONS; SUPPORT VECTOR REGRESSION; SYSTEM OF LINEAR EQUATIONS; TRAINING TIME;

EID: 63049117950     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TENCON.2008.4766523     Document Type: Conference Paper
Times cited : (2)

References (35)
  • 3
    • 0003652453 scopus 로고    scopus 로고
    • A. Smola, P. L. Bartlett, B. Scḧolkopf, and J. Schurmann editors, MIT Press, Cam, MA
    • A. Smola, P. L. Bartlett, B. Scḧolkopf, and J. Schurmann (editors), Advances in Large Margin Classifiers. MIT Press, Cam., MA, 2000.
    • (2000) Advances in Large Margin Classifiers
  • 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 Discov., 2(2):121-167, 1998.
    • (1998) Data Mining and Knowledge Discov , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 5
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers
    • 93
    • J. A. K. Suykens and J. Vandewalle., "Least squares support vector machine classifiers," in Neural Processing Letters, 9(3):293:300, 1999.
    • (1999) Neural Processing Letters , vol.293 , pp. 300
    • Suykens, J.A.K.1    Vandewalle, J.2
  • 6
    • 84899013173 scopus 로고    scopus 로고
    • Support vector regression machines
    • S, M. C. Mozer, M. I. Jordan, and T. Petsche, Eds. Cambridge, MA: MIT Press
    • H. Drucker, C. J. C. Burges, L. Kaufman, A. Smola, and V. Vapnik, "Support vector regression machines," in Advances in N.I.P.S. 9, M. C. Mozer, M. I. Jordan, and T. Petsche, Eds. Cambridge, MA: MIT Press, 1997, pp. 155-161.
    • (1997) Advances in N.I.P
    • Drucker, H.1    Burges, C.J.C.2    Kaufman, L.3    Smola, A.4    Vapnik, V.5
  • 7
    • 84887252594 scopus 로고    scopus 로고
    • Support vector method for function approximation, regression estimation, and signal processing
    • Camb, MA: MIT Press
    • V. Vapnik, S. Golowich, and A. J. Smola, "Support vector method for function approximation, regression estimation, and signal processing," in NIPS. Camb., MA: MIT Press, 1997, vol. 9.
    • (1997) NIPS , vol.9
    • Vapnik, V.1    Golowich, S.2    Smola, A.J.3
  • 8
    • 63049085185 scopus 로고    scopus 로고
    • A. J. Smola and B. Schölkopf, A tutorial on support vector regression, Royal Holloway College, London, U.K., Neuro COLT Tech. Rep. TR-1998-030, 1998.
    • A. J. Smola and B. Schölkopf, "A tutorial on support vector regression", Royal Holloway College, London, U.K., Neuro COLT Tech. Rep. TR-1998-030, 1998.
  • 9
    • 0034266838 scopus 로고    scopus 로고
    • Robust Linear and Support Vector Regression
    • O.L. Mangasarian and D.R. Musicant, "Robust Linear and Support Vector Regression," IEEE Trans. on PAMI, vol. 22, no. 9, pp. 950-955, 2000, ftp://ftp.cs. wisc. edu/ pub/ dmi/tech-reports/99-09.ps.
    • (2000) IEEE Trans. on PAMI , vol.22 , Issue.9 , pp. 950-955
    • Mangasarian, O.L.1    Musicant, D.R.2
  • 10
    • 0036856978 scopus 로고    scopus 로고
    • Robust Support Vector Regression Networks for Function Approximation With Outliers
    • C. C. Chuang, S. F. Su, J. T. Jeng and C. C. Hsiao, "Robust Support Vector Regression Networks for Function Approximation With Outliers," IEEE Trans. N. Nets., vol. 13, no. 6, pp. 1322- 1330, 2002.
    • (2002) IEEE Trans. N. Nets , vol.13 , Issue.6 , pp. 1322-1330
    • Chuang, C.C.1    Su, S.F.2    Jeng, J.T.3    Hsiao, C.C.4
  • 11
    • 0036161035 scopus 로고    scopus 로고
    • Large Scale Kernel Regression via Linear Programming
    • 99-02.ps
    • O.L. Mangasarian and D.R. Musicant, "Large Scale Kernel Regression via Linear Programming," in Machine Learning, vol. 46, pp. 255-269, 2002, ftp://ftp.cs.wisc.edu/pub/dmi/tech-reports/ 99-02.ps.
    • (2002) Machine Learning , vol.46 , pp. 255-269
    • Mangasarian, O.L.1    Musicant, D.R.2
  • 12
    • 2442593945 scopus 로고    scopus 로고
    • Active Set Support Vector Regression
    • D.R. Musicant and A. Feinberg, "Active Set Support Vector Regression," IEEE Trans. N. Nets., vol. 15, no. 2, pp. 268-275, 2004.
    • (2004) IEEE Trans. N. Nets , vol.15 , Issue.2 , pp. 268-275
    • Musicant, D.R.1    Feinberg, A.2
  • 13
    • 19944407892 scopus 로고    scopus 로고
    • ε-SSVR: A smooth support vector machine for ε-insensitive regression
    • May
    • Y.-J. Lee, W.-F. Hsieh, and C.-M. Huang, "ε-SSVR: A smooth support vector machine for ε-insensitive regression," IEEE Trans. Knowl. Data Eng., vol. 17, no. 5, pp. 678-685, May 2005.
    • (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
  • 16
    • 0000913324 scopus 로고    scopus 로고
    • R. Collobert and S. Bengio, SVMTorch: Support vector machines for large-scale regression problems, in J. M. Learn. Res. [Online], 1, pp. 143-160. Feb., 2001. Available: http://www.jmlr.org.
    • R. Collobert and S. Bengio, "SVMTorch: Support vector machines for large-scale regression problems," in J. M. Learn. Res. [Online], vol (1), pp. 143-160. Feb., 2001. Available: http://www.jmlr.org.
  • 18
    • 0002493574 scopus 로고    scopus 로고
    • Sparse greedy matrix approximation for machine learning
    • San Francisco, CA
    • A. Smola and B. Schölkopf, "Sparse greedy matrix approximation for machine learning," in Proc. 17th Int. Conf. Mach. Learn., San Francisco, CA, 2000, pp. 911-918.
    • (2000) Proc. 17th Int. Conf. Mach. Learn , pp. 911-918
    • Smola, A.1    Schölkopf, B.2
  • 19
    • 29244453931 scopus 로고    scopus 로고
    • On the Nyström method for approximating a Gram matrix for improved kernel-based learning
    • P. Drineas and M. W. Mahoney, "On the Nyström method for approximating a Gram matrix for improved kernel-based learning," J. M. Learn. Res, vol. 6, pp. 2153-2175, 2005.
    • (2005) J. M. Learn. Res , vol.6 , pp. 2153-2175
    • Drineas, P.1    Mahoney, M.W.2
  • 21
    • 0035789613 scopus 로고    scopus 로고
    • Proximal Support Vector Machine Classifiers, 7th Int'l Proc
    • G. Fung and O. L. Mangasarian, "Proximal Support Vector Machine Classifiers," 7th Int'l Proc. Knowledge Discovery and Data Mining, pp.77-86, 2001, ftp://ftp.cs.wisc.edu/pub/dmi/tech-reports/01-02.ps.
    • (2001) Knowledge Discovery and Data Mining , pp. 77-86
    • Fung, G.1    Mangasarian, O.L.2
  • 22
    • 33644830072 scopus 로고    scopus 로고
    • Multisurface Proximal Support Vector Classification via Generalized Eigenvalues
    • Jan
    • O. L. Mangasarian and E.W. Wild, "Multisurface Proximal Support Vector Classification via Generalized Eigenvalues," IEEE Trans. on PAMI, vol. 28, no. 1, pp. 69-74, Jan. 2006.
    • (2006) IEEE Trans. on PAMI , vol.28 , Issue.1 , pp. 69-74
    • Mangasarian, O.L.1    Wild, E.W.2
  • 23
    • 34047225880 scopus 로고    scopus 로고
    • Twin Support Vector Machines for Pattern Classification
    • May
    • Jayadeva, R. Khemchandani, and S. Chandra, "Twin Support Vector Machines for Pattern Classification", IEEE Trans. on PAMI, vol. 29, no. 5, pp. 905-910, May. 2007.
    • (2007) IEEE Trans. on PAMI , vol.29 , Issue.5 , pp. 905-910
    • Jayadeva, R.K.1    Chandra, S.2
  • 24
    • 0742321291 scopus 로고    scopus 로고
    • A Study on Reduced Support Vector Machines
    • K.-M. Lin and C.-J. Lin, "A Study on Reduced Support Vector Machines," IEEE Trans. N. Nets., vol. 14, no. 6, pp. 1449- 1459, 2003.
    • (2003) IEEE Trans. N. Nets , vol.14 , Issue.6 , pp. 1449-1459
    • Lin, K.-M.1    Lin, C.-J.2
  • 25
    • 33846092558 scopus 로고    scopus 로고
    • Reduced Support Vector Machines: A Statistical Theory
    • S.Y. Huang and Y.J. Lee, "Reduced Support Vector Machines: A Statistical Theory," IEEE Trans. N. Nets., vol. 18, no. 1, pp. 1-13, 2007.
    • (2007) IEEE Trans. N. Nets , vol.18 , Issue.1 , pp. 1-13
    • Huang, S.Y.1    Lee, Y.J.2
  • 26
    • 33646379851 scopus 로고    scopus 로고
    • A direct method for building sparse kernel learning algorithms
    • M. Wu, B. Schölkopf, and G. Bakir, "A direct method for building sparse kernel learning algorithms," J. M. Learn. Res, vol. 7, pp. 603-624, 2006.
    • (2006) J. M. Learn. Res , vol.7 , pp. 603-624
    • Wu, M.1    Schölkopf, B.2    Bakir, G.3
  • 27
    • 63049129580 scopus 로고    scopus 로고
    • MATLAB, User's Guide, The MathWorks, Inc., 1994-2001, http://www.mathworks.com
    • MATLAB, User's Guide, The MathWorks, Inc., 1994-2001, http://www.mathworks.com
  • 28
    • 63049119770 scopus 로고    scopus 로고
    • C.-C. Chang and C.-J. Lin, LIBSVM: A Library for SVM, 2001, software available at http://www.csie.ntu. edu.tw /∼cjlin /libsvm.
    • C.-C. Chang and C.-J. Lin, LIBSVM: A Library for SVM, 2001, software available at http://www.csie.ntu. edu.tw /∼cjlin /libsvm.
  • 30
    • 84990337456 scopus 로고    scopus 로고
    • Available
    • MATLAB SVM Toolbox, Online, /resources/svminfo/download.php
    • S. R. Gunn, MATLAB SVM Toolbox, 1998. [Online]. Available: http://www.isis.ecs.soton.ac.uk/resources/svminfo/download.php.
    • (1998)
    • Gunn, S.R.1
  • 31
    • 0000629975 scopus 로고
    • Cross-validatory choice and assessment of statistical predictions
    • M. Stone, "Cross-validatory choice and assessment of statistical predictions," J. of the R. Statistical Society, vol. 36, pp. 111-147, 1974.
    • (1974) J. of the R. Statistical Society , vol.36 , pp. 111-147
    • Stone, M.1
  • 33
    • 3543096272 scopus 로고    scopus 로고
    • The Kernel Recursive Least-Squares Algorithm
    • Aug
    • Y. Engel, S. Mannor and R. Meir, "The Kernel Recursive Least-Squares Algorithm," IEEE Trans. on Signal Processing. Vol. 52, no. 8, pp-2275-2286, Aug. 2004
    • (2004) IEEE Trans. on Signal Processing , vol.52 , Issue.8 , pp. 2275-2286
    • Engel, Y.1    Mannor, S.2    Meir, R.3
  • 34
    • 33745834241 scopus 로고    scopus 로고
    • Dept. of Inform. and Comp. Sc, Univ. of California, Irvine
    • C.L. Blake and C.J. Merz, "UCI Repository for Machine Learning Databases," Dept. of Inform. and Comp. Sc., Univ. of California, Irvine, http://www.ics.uci.edu/∼mlearn/MLRepository. html, 1998.
    • (1998) UCI Repository for Machine Learning Databases
    • Blake, C.L.1    Merz, C.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.