Information Theory and Statistics (1959) by Solomon Kullback

@book{kullback-1959, 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 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.5452}, 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 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.5452}, year = {1959} }

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