Statistical estimation of the Markov pattern recognition procedure

Journal of Automation and Information Sciences

Volumn 33, Issue 4, 2001, Pages 51-58

  Gupal, Anatoliy M ^a   Vagis, Alexandra A ^a  

^a RTCAINASU   (Ukraine)

Author keywords

Error estimate; Markov chain; Recognition procedure; Set of learning samples; Statistical estimation

Indexed keywords

ALGORITHMS; BOOLEAN ALGEBRA; ESTIMATION; LINEAR PROGRAMMING; MARKOV PROCESSES; OPTIMIZATION; PROBABILITY DISTRIBUTIONS; VECTORS;

BAYES RECOGNITION PROCEDURE; BERNOULLI DISTRIBUTION; STATISTICAL ESTIMATION;

PATTERN RECOGNITION;

EID: 0141502523     PISSN: 10642315     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. Nemirovskiy A.S., Yudin D.B., Complexity of problems and efficiency of optimization methods [in Russian], Nauka, Moscow, 1979.
2. Gupal A.M., Pashko S.V., Sergienko I.V., Efficiency of the Bayes procedure of classification of objects, Kibernetika i sistemnyi analiz, 1995, No. 4, 78-89.
3. Sergienko I.V., Gupal A.M., Pashko S.V., About complexity of problems of pattern recognition, Ibid., 1996, No. 4, 70-88.
4. Gupal A.M., Pashko S.V., Efficiency of the recognition procedure based on the use of separation hyperplane, Proceedings of the 3-d All-Ukrainian International conference (November 26-30, 1996, Kyiv), Kyiv, Ukrainian Association on information processing and recognition of images, 1996, 103-106.
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9. Chernoff H., Large-sample theory: parametric case, Ann. Math. Statist., 1956, 27, 1-22.