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O vztazích mezi informacemi, entropiemi a bayesovskými rozhodnutímí
Vajda, Igor ; Zvárová, Jana
A class of power entropies is introduced which are concave functions of distributions for positive powers and convex for negative powers. It is shown that the maximal generalized informations are often convex power entropies. The quadratic power entropy is shown to estimate more precisely the Bayes errors than the Shannon entropy.

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