Synthesis of Bayes algorithms for multialternative recognition of patterns set by sophisticated standard descriptions
AbstractThe author applies the Bayes approach to synthesis of algorithms for multialternative recognition of patterns represented by sophisticated standard descriptions in the form of sets of standard values and/or intervals of standard values of attributes. For the efficiency criterion of the algorithms synthesized, the full probability of the pattern recognition error is suggested.
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