Show Reference: "Information Theory and Statistics"

Information Theory and Statistics (1959) by Solomon Kullback
    abstract = {Entropy and relative entropy are proposed as features extracted from symbol sequences. Firstly, a proper Iterated Function

System is driven by the sequence, producing a {fractaMike} representation ({CSR}) with a low computational cost. Then, two

entropic measures are applied to the {CSR} histogram of the {CSR} and theoretically justified. Examples are included.},
    address = {New York},
    author = {Kullback, Solomon},
    citeulike-article-id = {841435},
    citeulike-linkout-0 = {},
    keywords = {information\_theory, math, probability},
    posted-at = {2014-06-16 10:14:26},
    priority = {2},
    publisher = {John Wiley and Sons},
    title = {Information Theory and Statistics},
    url = {},
    year = {1959}

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