A Quasi-Bayes Unsupervised Learning Procedure for Priors

IEEE Transactions on Information Theory

Volumn 23, Issue 6, 1977, Pages 761-764

  Makov, Udi E ^a   Smith, Adrian F M ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION THEORY AND ANALYSIS;

INFORMATION THEORY;

EID: 0017553461     PISSN: 00189448     EISSN: 15579654     Source Type: Journal    
DOI: 10.1109/TIT.1977.1055801     Document Type: Article

References (6)

1. H. Teicher, “Identifiability of finite mixtures,” Ann. Math. Statist., vol. 34, pp. 1265–1269, 1963.
2. L. D. Davisson and S. C. Schwartz, “Analysis of a decision-directed receiver with unknown priors,” IEEE Trans. Inform. Theory, vol. IT-16, pp. 270–276, May 1970.
3. A. Katopis and S. C. Schwartz, “Decision-directed learning using stochastic approximation,” Proc. of the Modelling and Simulation Conference, pp. 473–481, 1972.
4. T. Y. Young and T. W. Calvert, Classification, Estimation and Pattern Recognition. New York: American Elsevier, 1974.
5. E. A. Patrick and L. A. Liporace, “Quasi-Bayes averaging of stochastic approximation estimators,” Inform. Control, vol. 18, pp. 168–182, March 1971.
6. E. G. Gladyshev, “On stochastic approximation,” Theory of Prob. and its Appl., vol. 10, no. 2, pp. 275–278, 1965.