From mboxrd@z Thu Jan 1 00:00:00 1970 X-Msuck: nntp://news.gmane.io/gmane.emacs.gnus.general/46466 Path: main.gmane.org!not-for-mail From: jhbrown@ai.mit.edu (Jeremy H. Brown) Newsgroups: gmane.emacs.gnus.general Subject: Re: Using Eric Raymond's bogofilter tool within Gnus Date: 09 Sep 2002 20:33:48 -0400 Sender: owner-ding@hpc.uh.edu Message-ID: References: NNTP-Posting-Host: localhost.gmane.org Mime-Version: 1.0 Content-Type: text/plain; charset=iso-8859-15 Content-Transfer-Encoding: quoted-printable X-Trace: main.gmane.org 1031634280 18196 127.0.0.1 (10 Sep 2002 05:04:40 GMT) X-Complaints-To: usenet@main.gmane.org NNTP-Posting-Date: Tue, 10 Sep 2002 05:04:40 +0000 (UTC) Cc: pinard@iro.umontreal.ca (=?iso-8859-1?q?Fran=E7ois?= Pinard), Matthias Andree , Forum of ding/Gnus users Return-path: Original-Received: from malifon.math.uh.edu ([129.7.128.13]) by main.gmane.org with esmtp (Exim 3.35 #1 (Debian)) id 17odCW-0004jK-00 for ; Tue, 10 Sep 2002 07:04:36 +0200 Original-Received: from sina.hpc.uh.edu ([129.7.128.10] ident=lists) by malifon.math.uh.edu with esmtp (Exim 3.20 #1) id 17odAx-000792-00; Tue, 10 Sep 2002 00:02:59 -0500 Original-Received: by sina.hpc.uh.edu (TLB v0.09a (1.20 tibbs 1996/10/09 22:03:07)); Tue, 10 Sep 2002 00:03:35 -0500 (CDT) Original-Received: from epithumia.math.uh.edu (epithumia.math.uh.edu [129.7.128.2]) by sina.hpc.uh.edu (8.9.3/8.9.3) with ESMTP id AAA09118 for ; Tue, 10 Sep 2002 00:03:24 -0500 (CDT) Original-Received: (from tibbs@localhost) by epithumia.math.uh.edu (8.11.2/8.11.1) id g8A52jg18066 for ding@hpc.uh.edu; Tue, 10 Sep 2002 00:02:45 -0500 Original-Received: from sclp3.sclp.com (qmailr@sclp3.sclp.com [209.196.61.66]) by sina.hpc.uh.edu (8.9.3/8.9.3) with SMTP id TAA08936 for ; Mon, 9 Sep 2002 19:38:00 -0500 (CDT) Original-Received: (qmail 6441 invoked by alias); 10 Sep 2002 00:37:15 -0000 Original-Received: (qmail 6436 invoked from network); 10 Sep 2002 00:37:15 -0000 Original-Received: from life.ai.mit.edu (128.52.32.80) by gnus.org with SMTP; 10 Sep 2002 00:37:15 -0000 Original-Received: from suspiria.ai.mit.edu (suspiria [128.52.39.94]) by life.ai.mit.edu (8.12.2/8.12.2/BASENAME(ai.master.life-8.12.2.mc,.mc):RCS_REVISION(evision: 1.23 ) with ESMTP id g8A0Xreq012776; Mon, 9 Sep 2002 20:33:53 -0400 (EDT) Original-Received: by suspiria.ai.mit.edu (8.8.8/1.1.19.2/08Jul98-0847PM) id UAA0000023448; Mon, 9 Sep 2002 20:33:48 -0400 (EDT) Original-To: Kai.Grossjohann@CS.Uni-Dortmund.DE (Kai =?iso-8859-15?q?Gro=DFjohann?=) In-Reply-To: Original-Lines: 19 User-Agent: Gnus/5.09 (Gnus v5.9.0) Emacs/21.1 Precedence: list X-Majordomo: 1.94.jlt7 Xref: main.gmane.org gmane.emacs.gnus.general:46466 X-Report-Spam: http://spam.gmane.org/gmane.emacs.gnus.general:46466 Kai.Grossjohann@CS.Uni-Dortmund.DE (Kai Gro=DFjohann) writes: > jhbrown@ai.mit.edu (Jeremy H. Brown) writes: >=20 > > I'd love to see more reviews of bayesian (or other) spamfilters; it'd > > be trivial to mutate ifile-gnus to use just about any command-line > > drivable filter. >=20 > Is anyone out there willing to try it on Thorsten Joachim's > svm_light? The performance of Support Vector Machines appears to be > good both in terms of effectiveness and in terms of efficiency. I had a brief talk with a friend of mine who's an SVM expert. He said that in practice, the classification is likely to be a little better with an SVM, but training, especially incremental training, is likely to be relatively computationally intensive. Naive Bayes is nice because it's so computationally simple... Jeremy