Spam in images

[Tony L. Svanstrom]

On Mon, 7 Aug 2006 the voices made John G Walker write:

JGW> Can't comment on bogofilter, since I started with a couple of thousand
JGW> presorted spam and ham messages to train on, but my first Bayesian
JGW> filter - SpamBayes - only needed about thirty or forty messages before
JGW> it began to get the hang of my mail.
JGW>
JGW> I suspect any Bayesian filter will learn equally fast. I suspect the
JGW> speed is in the mathematics, not the software,

 Well, it's not always that simple; if there's not enough information for the
filter to do its magic then it won't work.

 Sure, if these e-mails are looking "too random", then the filters will be
updated so that they can find the patterns that they can't find today; but
there's a limit to how far you can take that without risking that unexpected
e-mails from new senders are classified as spam.


	/Tony
-- 
        /\___/\                                          /\___/\
        \_@ @_/                                          \_@ @_/
   .--oOO-(_)-OOo--------------------------------------oOO-(_)-OOo--.
   |  perl -e'print$_{$_} for sort%_=`lynx -dump svanstrom.com/t`'  |
   `---ôôô---ôôô----------------------------------------ôôô---ôôô---´
       \O/   \O/        ©1998-2005 svanstrom.com        \O/   \O/