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Volumn 1451, Issue , 1998, Pages 845-852

Pattern classification with noisy features

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS;

EID: 72349089925     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0033310     Document Type: Conference Paper
Times cited : (5)

References (17)
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    • Greblicki, W.1
  • 2
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    • On the continuity of the error distortion function for multiplehypothesis decisions
    • T. Farago and L. Gyorfi, On the continuity of the error distortion function for multiplehypothesis decisions, IEEE Trans. Inform. Theory, 21, pp. 458-460, 1975.
    • (1975) IEEE Trans. Inform. Theory , vol.21 , pp. 458-460
    • Farago, T.1    Gyorfi, L.2
  • 3
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    • Statistical diagnosis from imprecise data
    • J. Aitchison and I. J. Lauder, Statistical diagnosis from imprecise data, Biometrika, 66, pp.475-483, 1979.
    • (1979) Biometrika , vol.66 , pp. 475-483
    • Aitchison, J.1    Lauder, I.J.2
  • 4
    • 0018679256 scopus 로고
    • A pattern deformational model and Bayes error-correcting recognition system
    • W. H. Tsai and K. S. Fu, A pattern deformational model and Bayes error-correcting recognition system, IEEE Trans. on Systems, Man, and Cybernetics, 12, pp.745-756, 1979.
    • (1979) IEEE Trans. On Systems, Man, and Cybernetics , vol.12 , pp. 745-756
    • Tsai, W.H.1    Fu, K.S.2
  • 5
    • 0020133190 scopus 로고
    • Bayes’ error and its sensitivity in statistical pattern recognition in noisy environment
    • B. B. Chaudhuri, Bayes’ error and its sensitivity in statistical pattern recognition in noisy environment, International Jour.System Sci., 13, pp.559-570, 1982.
    • (1982) International Jour.System Sci , vol.13 , pp. 559-570
    • Chaudhuri, B.B.1
  • 7
    • 84947804128 scopus 로고
    • Pattern recognition when feature variables are subject to error, Sankhya, Ser. B
    • S. D. Gupta, Pattern recognition when feature variables are subject to error, Sankhya, Ser. B, 51, pp.287-294, 1989.
    • (1989) , vol.51 , pp. 287-294
    • Gupta, S.D.1
  • 11
    • 0000867838 scopus 로고
    • On the optimal rates of convergence for nonparametric deconvolution problems
    • J. Fan, On the optimal rates of convergence for nonparametric deconvolution problems, Ann, Statistics, 19, pp. 1257-1272, 1991.
    • (1991) Ann, Statistics , vol.19 , pp. 1257-1272
    • Fan, J.1
  • 12
    • 0028425697 scopus 로고
    • Functional approximation by feedforward networks: A least-squares approach to generalization
    • A. R. Webb, Functional approximation by feedforward networks: a least-squares approach to generalization, IEEE Trans. on Neural Networks, vol. 5, pp.363-371, 1994.
    • (1994) IEEE Trans. On Neural Networks , vol.5 , pp. 363-371
    • Webb, A.R.1
  • 13
    • 0029306953 scopus 로고
    • Similarities of error regulafization, sigmoid gain scaling, smoothing, and training with jitter
    • R. Reed, R. J. Marks and S. Oh, Similarities of error regulafization, sigmoid gain scaling, smoothing, and training with jitter, IEEE Trans. on Neural Networks, vol. 6, pp.529-538, 1995.
    • (1995) IEEE Trans. On Neural Networks , vol.6 , pp. 529-538
    • Reed, R.1    Marks, R.J.2    Oh, S.3
  • 15
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    • Kernel classification rules from missing data
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  • 17
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    • Necessary and sufficient conditions for Bayes risk consistency of a recursive kernel classification rule
    • W. Greblicki and M. Pawlak, Necessary and sufficient conditions for Bayes risk consistency of a recursive kernel classification rule, IEEE Trans. Inform. Theory, vol. IT-33, pp. 408-412, 1987.
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    • Greblicki, W.1    Pawlak, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.