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-Bayesian Noise Reduction is a statistical approach to evaluating coherence by
-instantiating a series of machine-generated contexts to serve as a means of
-contrast. This makes it possible to identify text that is out of context using
-a form of pattern consistency checking. BNR attempts to solve the problem
-commonly referred to as "Bayesian Noise" which, in its simplest definition,
-refers to irrelevant data present in a message being classified. Bayesian Noise
-Reduction dubs irrelevant text in order to provide cleaner classification and
-is implemented as a pre-filter to existing language classification functions.
-
-BNR is used in Dspam (mail/dspam, mail/dspam-devel - the ports don't depend on
-this one)
-
-See www for white-paper and presentation.
-
-WWW: http://www.nuclearelephant.com/papers/bnr.html