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- W2014283670 abstract "Described in this paper is an application of variable structure stochastic automata to the solution of the hypothesis testing problem. Given the upper bounds on the error probabilities of the two kinds a design procedure for devising an algorithm for the stochastic automaton which ensures a proper decision is developed. The method is illustrated by an application to a simple detection problem of a known constant signal in additive gaussian noise." @default.
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- W2014283670 date "1973-12-01" @default.
- W2014283670 modified "2023-09-23" @default.
- W2014283670 title "Application of learning algorithms to hypotheses testing problems" @default.
- W2014283670 cites W2015066428 @default.
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- W2014283670 doi "https://doi.org/10.1109/cdc.1973.269159" @default.
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