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Volumn , Issue , 1988, Pages 607-611

Bayesian Classification

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

EID: 85117908774     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (98)

References (18)
  • 2
    • 0002282678 scopus 로고
    • Probability, frequency, and reasonable expectation
    • R. T. Cox. Probability, frequency, and reasonable expectation. American Journal of Physics, 17:1-13, 1946.
    • (1946) American Journal of Physics , vol.17 , pp. 1-13
    • Cox, R. T.1
  • 4
    • 0023523514 scopus 로고
    • How many clusters are best? - an experiment
    • Richard C. Dubes. How many clusters are best? - an experiment. Pattern Recognition, 20(6):645-663, 1987.
    • (1987) Pattern Recognition , vol.20 , Issue.6 , pp. 645-663
    • Dubes, Richard C.1
  • 8
    • 0000764772 scopus 로고
    • Multiple measurments in taxonomic problems
    • R. A. Fisher. Multiple measurments in taxonomic problems. Annals of Eugenics, VII: 179-188, 1936.
    • (1936) Annals of Eugenics , vol.VII , pp. 179-188
    • Fisher, R. A.1
  • 9
    • 0021561847 scopus 로고
    • A general selection criterion for inductive inference
    • T. O'Shea, editor, pages Elsevier, Amsterdam
    • M. P. Georgeff and C. S. Wallace. A general selection criterion for inductive inference. In T. O'Shea, editor, ECAI-84'- Advances in Artificial Intelligence, pages 473-482, Elsevier, Amsterdam, 1984.
    • (1984) ECAI-84'- Advances in Artificial Intelligence , pp. 473-482
    • Georgeff, M. P.1    Wallace, C. S.2
  • 10
    • 84916064689 scopus 로고
    • Prior probabilities
    • September (Reprinted in [Jaynes, 1983])
    • Edwin T. Jaynes. Prior probabilities. IEEE Transactions on Systems and Cybernetics, SSC-4(3):227-241, September 1968. (Reprinted in [Jaynes, 1983]).
    • (1968) IEEE Transactions on Systems and Cybernetics , vol.SSC-4 , Issue.3 , pp. 227-241
    • Jaynes, Edwin T.1
  • 12
    • 0002945580 scopus 로고
    • Bayesian methods: general background
    • James H. Justice, editor, pages Cambridge University Press, Cambridge, Massachusetts
    • Edwin T. Jaynes. Bayesian methods: general background. In James H. Justice, editor, Maximum Entropy and Bayesian Methods in Applied Statistics, pages 1-25, Cambridge University Press, Cambridge, Massachusetts, 1986.
    • (1986) Maximum Entropy and Bayesian Methods in Applied Statistics , pp. 1-25
    • Jaynes, Edwin T.1
  • 15
    • 0003046842 scopus 로고
    • Learning from observation: conceptual clustering
    • Ryszard S. Michalski, Jaime G. Carbonell, and Tom M. Mitchell, editors, chapter 11, Tioga Press, Palo Alto
    • Ryszard S. Michalski and Robert E. Stepp. Learning from observation: conceptual clustering. In Ryszard S. Michalski, Jaime G. Carbonell, and Tom M. Mitchell, editors, Machine Learning: An Artificial Intelligence Approach, chapter 11, Tioga Press, Palo Alto, 1983.
    • (1983) Machine Learning: An Artificial Intelligence Approach
    • Michalski, Ryszard S.1    Stepp, Robert E.2
  • 16
    • 0000107517 scopus 로고
    • An information measure for classification
    • C. S. Wallace and D. M. Boulton. An information measure for classification. Computer Journal, 1:185-195, 1968.
    • (1968) Computer Journal , vol.1 , pp. 185-195
    • Wallace, C. S.1    Boulton, D. M.2
  • 18
    • 0012393308 scopus 로고
    • Pattern clustering by multivariate mixture analysis
    • July
    • John H. Wolfe. Pattern clustering by multivariate mixture analysis. Multivariate Behavioural Research, 5:329-350, July 1970.
    • (1970) Multivariate Behavioural Research , vol.5 , pp. 329-350
    • Wolfe, John H.1


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