DSPAM v3.2 Released
Nuclear Elephant writes "After four months of development DSPAM v3.2 has been released, bringing many new enhancements and filtering technologies. These include distributed computing support, implementation of Bill Yerazunis' Sparse Binary Polynomial Hashing algorithm (from CRM114), and v1.2 of Bayesian Noise Reduction. Other enhancements include SQLite support and many significant performance enhancements for PostgreSQL. DSPAM's official release is next week, but you can download the preview release now. Users of the project have also contributed towards creating a new logo for this release."
I would have thought that running 2 bayesian filters would cause more trouble than good. The first filter would be ok as it would be trained like usual.
The second filter would probably have problems because it would only see a small subset of all your mail as the first filter would have removed most of the spam. The second filter's sample would therefore be skewed and it would have far less data to accurately classify spam.
Just my thoughts on the subject anyway...