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Volumn C-27, Issue 7, 1978, Pages 648-659

Learning Algorithms for Nonparametric Solution to the Minimum Error Classification Problem

Author keywords

Discriminant functions; machine learning; pattern; recognition; stochastic approximation; window functions

Indexed keywords

PATTERN RECOGNITION SYSTEMS;

EID: 0017994571     PISSN: 00189340     EISSN: None     Source Type: Journal    
DOI: 10.1109/TC.1978.1675165     Document Type: Article
Times cited : (25)

References (22)
  • 5
    • 84933800527 scopus 로고
    • Design of pattern classifiers with the updating property using stochastic approximations techniques
    • Sept.
    • S. S. Yau and J. M. Schumpert, “Design of pattern classifiers with the updating property using stochastic approximations techniques,” IEEE Trans. Comput., vol. C-17, pp. 908–1003, Sept. 1968.
    • (1968) IEEE Trans. Comput. , vol.C-17 , pp. 908-1003
    • Yau, S.S.1    Schumpert, J.M.2
  • 6
    • 0002520451 scopus 로고
    • Stochastic approximation: A recursive method for solving regression problems
    • A. V. Balakhrisnan, Ed. New York: : Academic Press
    • D. J. Sakrison, “Stochastic approximation: A recursive method for solving regression problems,” in Advances in Communication Systems, vol. 2, A. V. Balakhrisnan, Ed. New York: : Academic Press, 1966.
    • (1966) Advances in Communication Systems , vol.2
    • Sakrison, D.J.1
  • 7
    • 0015404519 scopus 로고
    • Training a one-dimensional classifier to minimize the probability of error
    • Sept.
    • G. N. Wassel and J. Sklansky, “Training a one-dimensional classifier to minimize the probability of error,” IEEE Trans. Syst., Man, Cybern., vol. SMC-2, Sept. 1972.
    • (1972) IEEE Trans. Syst., Man, Cybern. , vol.SMC-2
    • Wassel, G.N.1    Sklansky, J.2
  • 8
    • 84937999892 scopus 로고
    • On the minimization of classification error probability in statistical pattern recognition
    • Mathematical Institute of the Hungarian Academy of Sciences, Apr.
    • J. Fritz and L. Györfi “On the minimization of classification error probability in statistical pattern recognition,” Mathematical Institute of the Hungarian Academy of Sciences, Apr. 1974.
    • (1974)
    • Fritz, J.1    Györfi, L.2
  • 9
    • 0000840950 scopus 로고
    • Generation of polynomial discriminant functions for pattern recognition
    • June
    • D. F. Specht, “Generation of polynomial discriminant functions for · pattern recognition,” IEEE Trans. Electron. Comput., vol. EC-16, pp. 608–609, June 1967.
    • (1967) IEEE Trans. Electron. Comput. , vol.EC-16 , pp. 608-609
    • Specht, D.F.1
  • 10
    • 0000920843 scopus 로고
    • A theory of adaptive pattern classifiers
    • June
    • S. Amari, “A theory of adaptive pattern classifiers,” IEEE Trans. Electron. Comput., vol. EC-16, pp. 623–625, June 1967.
    • (1967) IEEE Trans. Electron. Comput. , vol.EC-16 , pp. 623-625
    • Amari, S.1
  • 11
    • 0016795954 scopus 로고
    • Discriminant function implementation of a minimum risk classifier
    • J. Kittler and P. C. Young, “Discriminant function implementation of a minimum risk classifier,” Biol. Cybern., no. 18, 1975.
    • (1975) Biol. Cybern., no , Issue.18
    • Kittler, J.1    Young, P.C.2
  • 12
    • 84945720100 scopus 로고
    • A suboptimal solution of the linear classification problem with minimal error-probability
    • Lyngby-Copenhagen, Aug.
    • L. Györfi, “A suboptimal solution of the linear classification problem with minimal error-probability,” 2nd Int. joint Conf on Pattern Recognition, Lyngby-Copenhagen, Aug. 1974.
    • (1974) 2nd Int. joint Conf on Pattern Recognition
    • Györfi, L.1
  • 13
    • 84937996574 scopus 로고
    • Training a linear classifier to minimize the error probability
    • Ph.D. dissertation, Univ. of California, Irvine, Dec.
    • G. N. Wassel, “Training a linear classifier to minimize the error probability,” Ph.D. dissertation, Univ. of California, Irvine, Dec. 1972.
    • (1972)
    • Wassel, G.N.1
  • 15
    • 84938008139 scopus 로고
    • Stochastic gradient algorithms for searching multidimensional multimodal surfaces
    • Stanford Univ., Tech. Re 6778–7
    • G. R. Gucker, “Stochastic gradient algorithms for searching multidimensional multimodal surfaces,” Stanford Univ., Tech. Rep. 6778–7, 7, Dec. 1969.
    • (1969) , vol.7
    • Gucker, G.R.1
  • 16
    • 84912207796 scopus 로고
    • Linear decision function with application to pattern recognition
    • IRE June
    • W. H. Highleyman, “Linear decision function with application to pattern recognition,” Proc. IRE, 1962. June
    • (1962) Proc
    • Highleyman, W.H.1
  • 17
    • 84938000785 scopus 로고
    • On adaptive ptiive solution of piecewise linear approximation problem: Application to modeling and identification problem
    • Apr.
    • H. Do-Tu and M. Installé, “On adaptive ptiive solution of piecewise linear approximation problem: Application to modeling and identification problem,” in Proc. Milwaukee Symp. Autom. Comp. and Contr., Apr. 1975.
    • (1975) Proc. Milwaukee Symp. Autom. Comp. and Contr.
    • Do-Tu, H.1    Installé, M.2
  • 19
    • 84913510529 scopus 로고
    • A modified mean-square-error criterion for use in unsupervised learning
    • Stanford Univ., Aug.
    • W. C. Miller, “A modified mean-square-error criterion for use in unsupervised learning,” Tech. Rep. no. 6778–2, Stanford Univ., Aug. 1967.
    • (1967) Tech. Rep. no , pp. 6772-6778
    • Miller, W.C.1
  • 21
    • 84938002081 scopus 로고
    • Learning algorithms for discriminant function solution of the minimum error classification problem
    • Tech. Rep., Feb.
    • H. Do-Tu, “Learning algorithms for discriminant function solution of the minimum error classification problem,” Tech. Rep., Feb. 1976.
    • (1976)
    • Do-Tu, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.