freebsd-ports/devel/libbnr/pkg-descr
Pav Lucistnik 26fa54f08c 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.

PR:		ports/78159
Submitted by:	Ion-Mihai "IOnut" Tetcu <itetcu@people.tecnik93.com>
2005-03-11 16:00:01 +00:00

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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 depent on
this one)
See www for white-paper and presentation.
WWW: http://www.nuclearelephant.com/papers/bnr.html