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Volumn , Issue , 2001, Pages

Convergence of large margin separable linear classification

Author keywords

[No Author keywords available]

Indexed keywords

INPUT OUTPUT PROGRAMS; SAMPLING;

EID: 4644227178     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (14)
  • 1
    • 0000759079 scopus 로고
    • The AdaTron: An adaptive perceptron algorithm
    • J.K. Anlauf and M. Biehl. The AdaTron: an adaptive perceptron algorithm. Europhys. Lett., 10(7):687-692, 1989.
    • (1989) Europhys. Lett. , vol.10 , Issue.7 , pp. 687-692
    • Anlauf, J.K.1    Biehl, M.2
  • 2
  • 4
    • 0004132031 scopus 로고
    • John Wiley & Sons Ltd., Chichester Translated from the German by John Horváth, A Wiley-Interscience Publication
    • Harro G. Heuser. Functional analysis. John Wiley & Sons Ltd., Chichester, 1982. Translated from the German by John Horváth, A Wiley-Interscience Publication.
    • (1982) Functional Analysis
    • Heuser, H.G.1
  • 5
    • 10844294613 scopus 로고
    • Statistical mechanics of the perceptron with maximal stability
    • Springer-Verlag
    • W. Kinzel. Statistical mechanics of the perceptron with maximal stability. In Lecture Notes in Physics, Volume 368, pages 175-188. Springer-Verlag, 1990.
    • (1990) Lecture Notes in Physics , vol.368 , pp. 175-188
    • Kinzel, W.1
  • 6
    • 0008815681 scopus 로고    scopus 로고
    • Additive versus exponentiated gradient updates for linear prediction
    • J. Kivinen and M.K. Warmuth. Additive versus exponentiated gradient updates for linear prediction. Journal of Information and Computation, 132:1-64, 1997.
    • (1997) Journal of Information and Computation , vol.132 , pp. 1-64
    • Kivinen, J.1    Warmuth, M.K.2
  • 7
    • 0011891024 scopus 로고
    • Learning times of neural networks: Exact solution for a perceptron algorithm
    • M. Opper. Learning times of neural networks: Exact solution for a perceptron algorithm. Phys. Rev. A, 38(7):3824-3826, 1988.
    • (1988) Phys. Rev. A , vol.38 , Issue.7 , pp. 3824-3826
    • Opper, M.1
  • 8
    • 84956134151 scopus 로고
    • Learning in neural networks: Solvable dynamics
    • M. Opper. Learning in neural networks: Solvable dynamics. Europhysics Letters, 8(4):389-392, 1989.
    • (1989) Europhysics Letters , vol.8 , Issue.4 , pp. 389-392
    • Opper, M.1
  • 10
    • 0031210969 scopus 로고    scopus 로고
    • Characterizing rational versus exponential learning curves
    • Dale Schuurmans. Characterizing rational versus exponential learning curves. J. Comput. Syst. Sci., 55:140-160, 1997.
    • (1997) J. Comput. Syst. Sci. , vol.55 , pp. 140-160
    • Schuurmans, D.1
  • 12
    • 0347606830 scopus 로고    scopus 로고
    • Entropy numbers of linear function classes
    • Robert C. Williamson, Alexander J. Smola, and Bernhard Schölkopf. Entropy numbers of linear function classes. In COLT'00, pages 309-319, 2000.
    • (2000) COLT'00 , pp. 309-319
    • Williamson, R.C.1    Smola, A.J.2    Schölkopf, B.3
  • 14
    • 4244093216 scopus 로고    scopus 로고
    • Analysis of regularized linear functions for classification problems
    • Abstract in NIPS'99
    • Tong Zhang. Analysis of regularized linear functions for classification problems. Technical Report RC-21572, IBM, 1999. Abstract in NIPS'99, pp. 370-376.
    • (1999) Technical Report RC-21572, IBM , pp. 370-376
    • Zhang, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.