Libbnr
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
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Notes
Leaders and contributors
| Contact(s) | Role |
|---|---|
| Jonathan A. Zdziarski | Maintainer |
Resources and communication
| Audience | Resource type | URI |
|---|---|---|
| Bug Tracking,Developer,Support | mailto:jonathan@nuclearelephant.com |
Software prerequisites
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.
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