Project Description Web Page Review this project
libbnr is an implementation of the Bayesian Noise Reduction (BNR) algorithm. All samples of text contain some degree of noise (data which is either intentionally or unintentionally irrelevant to accurate statistical analysis of the sample where removal of the data would result in a cleaner analysis). The Bayesian noise reduction algorithm provides a means of cleaner machine learning by providing more useful data, which ultimately leads to better sample analysis. With the noisy data removed from the sample, what is left is only data relevant to the classification. libbnr can be linked in with your classifier and called using the standard C interface.
No Image posted
Your rating on Bayesian Noise Reduction Library
This page posts information of other open source development sites, and the information here is put together through the use of a feature called OFI. These projects are not the projects on OSDN.