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Volumn 13, Issue 6, 2002, Pages 1364-1373

Fuzzy kernel perceptron

Author keywords

Classification; Fuzzy perceptron (FP); Kernel based method; Mercer kernel; Supervised learning; Support vector machine (SVM)

Indexed keywords

FUNCTIONS; LEARNING SYSTEMS; PROBLEM SOLVING; QUADRATIC PROGRAMMING;

EID: 0036859530     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2002.804311     Document Type: Article
Times cited : (65)

References (19)
  • 1
    • 0003408496 scopus 로고    scopus 로고
    • Univ. California, Dept. Inform. Comput. Sci., Irvine, CA. Online
    • C.L. Blake and C.J. Merz. (1998) UCI repository of machine learning databases. Univ. California, Dept. Inform. Comput. Sci., Irvine, CA. [Online]. Available: http://www.ics.uci.edu/̃mlearn/MLRepository.html.
    • (1998) UCI repository of machine learning databases
    • Blake, C.L.1    Merz, C.J.2
  • 2
    • 84918441630 scopus 로고
    • Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition
    • Mar.
    • T.M. Cover, "Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition," IEEE Trans. Electron. Comput., vol. EC-14, pp. 326-334, Mar. 1965.
    • (1965) IEEE Trans. Electron. Comput. , vol.EC-14 , pp. 326-334
    • Cover, T.M.1
  • 5
    • 0033281425 scopus 로고    scopus 로고
    • Large margin classification using the perceptron algorithm
    • Y. Freund and R.E. Schapire, "Large margin classification using the perceptron algorithm," Machine Learning, vol. 37, pp. 277-296, 1999.
    • (1999) Machine Learning , vol.37 , pp. 277-296
    • Freund, Y.1    Schapire, R.E.2
  • 7
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multi-class support vector machines
    • Mar., to be published
    • C.-W. Hsu and C.-J. Lin, "A comparison of methods for multi-class support vector machines," IEEE Trans. Neural Networks, vol. 13, pp. 415-425, Mar. 2001, to be published.
    • (2001) IEEE Trans. Neural Networks , vol.13 , pp. 415-425
    • Hsu, C.-W.1    Lin, C.-J.2
  • 9
    • 0022151730 scopus 로고
    • Incorporating fuzzy membership functions into the perceptron algorithm
    • June
    • J.M. Keller and D.J. Hunt, "Incorporating fuzzy membership functions into the perceptron algorithm," IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-7, pp. 693-699, June 1985.
    • (1985) IEEE Trans. Pattern Anal. Machine Intell. , vol.PAMI-7 , pp. 693-699
    • Keller, J.M.1    Hunt, D.J.2
  • 10
    • 0000222692 scopus 로고    scopus 로고
    • Formulations of support vector machines: A note from an optimization point of view
    • C.-J. Lin, "Formulations of support vector machines: A note from an optimization point of view," Neural Comput., vol. 13, pp. 307-317, 2001.
    • (2001) Neural Comput. , vol.13 , pp. 307-317
    • Lin, C.-J.1
  • 14
    • 0030673582 scopus 로고    scopus 로고
    • Training support vector machines: An application to face detection
    • San Juan, Puerto Rico
    • E. Osuna, R. Freund, and F. Girosi, "Training support vector machines: An application to face detection," in Proc. Comput. Vision Pattern Recognition, San Juan, Puerto Rico, 1997, pp. 130-136.
    • (1997) Proc. Comput. Vision Pattern Recognition , pp. 130-136
    • Osuna, E.1    Freund, R.2    Girosi, F.3
  • 15
    • 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, MA: MIT Press
    • J. Platt, "Fast training of support vector machines using sequential minimal optimization," in Advances in Kernel Methods-Support Vector Learning, B. Schölkopf, C.J.C. Burges, and A.J. Smola, Eds. Cambridge, MA: MIT Press, 1999, pp. 185-208.
    • (1999) Advances in Kernel Methods-Support Vector Learning , pp. 185-208
    • Platt, J.1
  • 16
    • 0032095724 scopus 로고    scopus 로고
    • Support vector machines for 3-d object recognition
    • June
    • M. Pontil and A. Verri, "Support vector machines for 3-d object recognition," IEEE Trans. Pattern Anal. Machine Intell., vol. 20, pp. 637-646, June 1998.
    • (1998) IEEE Trans. Pattern Anal. Machine Intell. , vol.20 , pp. 637-646
    • Pontil, M.1    Verri, A.2
  • 17
    • 0000245470 scopus 로고
    • Selecting a classification method by cross-validation
    • C. Schaffer, "Selecting a classification method by cross-validation," Machine Learning, vol. 13, pp. 135-141, 1993.
    • (1993) Machine Learning , vol.13 , pp. 135-141
    • Schaffer, C.1
  • 18
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Schölkopf, A. Smola, and K.-R. Müller, "Nonlinear component analysis as a kernel eigenvalue problem," Neural Comput., vol. 10, pp. 1299-1319, 1998.
    • (1998) Neural Comput. , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Müller, K.-R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.