Optimal pattern recognition procedures and their application |
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| Authors: | I. V. Sergienko A. M. Gupal |
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| Affiliation: | (1) V. M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine |
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| Abstract: | Results on Bayesian classification procedures, optimal on structures such as Markov chain and independent features, are reviewed. Numerical results of predicting protein secondary structure based on Bayesian classification procedures on non-stationary Markov chains are discussed. Complementarity relations for encoding bases in one DNA strand are presented. __________ Translated from Kibernetika i Sistemnyi Analiz, No. 6, pp. 41–54, November–December 2007. |
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| Keywords: | recognition Bayesian procedure procedure error learning sample protein secondary structure Markov chain protein folding |
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