[spambayes-dev] Can SpamBayes be improved with Markovian Weighting
or Chained Karnaugh Mapping?
brown at dui-dwi.com
Sun Aug 8 17:50:06 CEST 2004
I realized that I just posted this in the general list, and this is
definitely for the dev's: More of a technical question here. I've been
doing ton's of research on spam in general, and am curious about the
following. I recently watched the 2004 Spam Conference Webcast
(http://spamconference.org/webcast.html) and a couple of speaker's brought
up a couple of improvements that can be made on a Bayesian Filter such as
Markovian Weighting and Chained Karnaugh Mapping that was found in their
latest research and tests.
With my limited knowledge, I do know that SpamBayes uses its own technique
of tiling unigrams and bigrams and the chi-squared combining, but I do not
know if these are comparable to Markovian Weighting or Chained Karnaugh
I found the option in the current SpamBayes release in the Experimental
Configuration called "Use mixed uni/bi-grams scheme". I'm wondering if
this is along the lines of my curiosity?
Any kind soul who can break all this down to me would be greatly
appreciated. I had no idea that spam filtering would take up this amount
of my time........LOL!
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