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.
libballistics is an external ballistics library which uses many widely-accepted mathematical formulas to calculate the bullet path for a given projectile. Functions are available to adjust for atmospheric conditions, conversions, and stepped ballistic coefficients. libballistics is very efficient and runs well on mobile devices. It is the engine used in "Ballistic" for the iPhone.
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Re: Can't make heads or tails > The documentation for dspam is almost > non-existant. How frustrating. I had to > make sense of things from the > usergroups. Hi! Ha...
Several blacklists needed to go anyway Several of these blacklists needed to die anyway. Osirusoft was the WORST blacklist in terms of maintenance and was responsible for blacklisting thousands of...
You're asking way too much out of a spam filter comparison I think a lot of you are asking far too much out of a spam filter comparison article. Yes, I think a feature matrix would be nice (cl...
Re: All spam filters fail in comparison... > ... to TMDA. It's not a filter, rather a > whitelist/blacklist based > challenge/response system. I installed > it on my ISP's ...
Training Questions I'm curious to know if the initial training is all that was performed; as you know, bayesian filters learn from their mistakes, so I would like to know if false positives wer...