Libbnr

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libbnr

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





Licensing

License

Verified by

Verified on

Notes

Verified by

Janet Casey

Verified on

22 July 2004




Leaders and contributors

Contact(s)Role
Jonathan A. Zdziarski Maintainer


Resources and communication

AudienceResource typeURI
Bug Tracking,Developer,SupportE-mailmailto:jonathan@nuclearelephant.com


Software prerequisites

This entry (in part or in whole) was last reviewed on 21 January 2017.



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