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- W1964524900 abstract "In this paper, some properties of stochastic context-free programmed grammars arepresented. By illustrative examples, the class of stochastic context-free programmed grammars is shown to be quite effective in characterizing the structures of some pictorial patterns. Two stochastic syntactic-analysis algorithms for stochastic context-free programmed grammars are introduced. It is shown that the stochastic analyzer with a fixed strategy would require the least average number of steps to recognize the language generated by a stochastic context-free programmed grammar, while the stochastic syntactic analyzer with a random strategy would be useful in the case where the probability information associated with the stochastic context-free programmed grammar is incomplete or inaccurately known. The performance of the stochastic syntactic analyzer with a random strategy would be better than that of the nondeterministic syntactic analyzer proposed earlier. The use of the proposed stochastic syntactic-analysis algorithm with a fixed strategy for syntactic pattern recognition is illustrated by a chromosome patternclassification experiment." @default.
- W1964524900 created "2016-06-24" @default.
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- W1964524900 date "1972-11-01" @default.
- W1964524900 modified "2023-09-22" @default.
- W1964524900 title "Stochastic syntactic analysis for programmed grammars and syntactic pattern recognition" @default.
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- W1964524900 doi "https://doi.org/10.1016/s0146-664x(72)80018-2" @default.
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