From mboxrd@z Thu Jan 1 00:00:00 1970 X-Spam-Checker-Version: SpamAssassin 3.4.4 (2020-01-24) on polar.synack.me X-Spam-Level: X-Spam-Status: No, score=-1.9 required=5.0 tests=BAYES_00 autolearn=ham autolearn_force=no version=3.4.4 X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: 103376,c7ee0d960296483 X-Google-Attributes: gid103376,public X-Google-ArrivalTime: 2003-09-23 13:57:16 PST Path: archiver1.google.com!news1.google.com!newsfeed.stanford.edu!logbridge.uoregon.edu!xmission!news-out.spamkiller.net!propagator2-maxim!news-in.superfeed.net!newsfeed01.tsnz.net!news.xtra.co.nz!53ab2750!not-for-mail Newsgroups: comp.lang.ada Subject: Re: Current "Swen" worm attack - a tip References: From: Berend de Boer Message-ID: User-Agent: Gnus/5.1002 (Gnus v5.10.2) Emacs/21.2 (windows-nt) Cancel-Lock: sha1:vQI7vUoH0Ry0jaNNJ38+PrI5fwU= MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Date: Wed, 24 Sep 2003 08:55:47 +1200 NNTP-Posting-Host: 219.88.64.124 X-Complaints-To: newsadmin@xtra.co.nz X-Trace: news.xtra.co.nz 1064350635 219.88.64.124 (Wed, 24 Sep 2003 08:57:15 NZST) NNTP-Posting-Date: Wed, 24 Sep 2003 08:57:15 NZST Organization: Xtra Xref: archiver1.google.com comp.lang.ada:42824 Date: 2003-09-24T08:55:47+12:00 List-Id: >>>>> "Jeffrey" == Jeffrey Carter writes: Jeffrey> I've long felt that a neural network should be able to Jeffrey> learn to distinguish spam from real mail very Jeffrey> accurately. The problem is figuring out a good way to Jeffrey> represent a mail message to the network. I haven't had Jeffrey> much success on that, but once you have that, training Jeffrey> the network is simple. This approach was described by Paul Graham: http://www.paulgraham.com/spam.html It has been used very successfully by a lot of products including my own (http://www.pobox.com/~berend/emc/). -- Regards, Berend. (-: