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libbnr - Implementation of the Bayesian Noise Reduction (BNR) algorithm

'libbnr' implements of the Bayesian Noise Reduction (BNR) algorithm. All samples of text contain some degree of noise (data irrelevant to accurate statistical analysis of the sample where removal of the data would result in a cleaner analysis). The Bayesian noise reduction algorithm ensures cleaner machine learning by providing more useful data, which ultimately leads to better sample analysis. With the noisy data removed from the sample, only data relevant to the classification is left. 'libbnr' can be linked in with a classifier and called using the standard C interface.

Obtaining

Web pagehttp://www.nuclearelephant.com/projects/dspam/bnr.html
Source tarball http://www.nuclearelephant.com/projects/dspam/libbnr-1.2.tar.gz
Version 1.2 (stable) released on 2004-07-26
Licensed under The GNU General Public License, Version 2 or later.
This is not a GNU package.

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Related information

Interfaceslibrary
Source languagesC

Entry information

License verified byJanet Casey <jcasey@gnu.org> on 2004-07-22
Entry compiled byJanet Casey <jcasey@gnu.org>

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