On Thu, Jul 01, 2004 at 01:07:51PM +1200, Simon Byrnand wrote: > So the new algorithm does this: > > When trying to autolearn spam, don't learn it if the bayes score is > already > +4.0 (BAYES_99) and while trying to autolearn ham, don't learn it > if the bayes score is already < -4.0 (BAYES_00). There is no limitiation on > learning a message the opposite way to what bayes previously thought it > should score, as this is sometimes neccessary.
I think it's a great idea, and I had been thinking along the same lines myself. From all the analyses I've read, most learning systems learn best from teaching by exception. I find that reinforcing SA's Bayes when (for instance) it guessed ham, makes it very hard in the future to learn enough contrary examples of similar mail. I haven't had time to dig into the code to do it though. I'll be interested to see how it works for you ! Nick
