On Mar 3, 2009, at 10:06, John Wilcock <j...@tradoc.fr> wrote:
Le 03/03/2009 17:42, Matus UHLAR - fantomas a écrit :
I have been already thinking about possibility to combine every two
rules
and do a masscheck over them. Then, optionally repeating that again,
skipping duplicates. Finally gather all rules that scored>=0.5 ||
<=-0.5
- we could have interesting ruleset here.
But that's going to be a HUGE ruleset.
Not to mention that different combinations will suit different sites.
I wonder about the feasibility of a second Bayesian database, using
the same learning mechanism as the current system, but keeping track
of rule combinations instead of keywords.
It sounds like a really good idea to me, and also like the most
reasonable way to manage self-learning meta rules.
