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Libbnr

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libbnr

http://www.nuclearelephant.com/projects/dspam/bnr.html
'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.


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Download External-link-icon.png version 1.2 (stable)
released on 26 July 2004

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Licensing

LicenseVerified byVerified onNotes
GPLv2orlaterJanet Casey22 July 2004



Leaders and contributors

Contact(s)Role
"Email jonathan@nuclearelephant.com" Jonathan A. Zdziarski Maintainer


Resources and communication

Audience Resource type URI
Bug Tracking,Developer,Support E-mail mailto:jonathan@nuclearelephant.com


Software prerequisites

This entry (in part or in whole) was last reviewed on 7 January 2008.



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The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.


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