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- W1532561769 abstract "In this paper the notion of stochastic conditional entropy is introduced, and the asymptotic relation between this notion and the relative entropy density is studied. A strong limit theorem which holds for arbitrary discrete information sources is obtained. In the proof an analytic technique to study the strong limit properties of discrete information sources is proposed." @default.
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- W1532561769 date "1999-01-12" @default.
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- W1532561769 title "A LIMIT PROPERTY OF ARBITRARY DISCRETE INFORMATION SOURCES" @default.
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