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	<title>Laughing Meme &#187; bayesian</title>
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	<link>http://laughingmeme.org</link>
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		<title>Udell: Working with Bayesian Categorizers</title>
		<link>http://laughingmeme.org/2003/11/21/udell-working-with-bayesian-categorizers/</link>
		<comments>http://laughingmeme.org/2003/11/21/udell-working-with-bayesian-categorizers/#comments</comments>
		<pubDate>Fri, 21 Nov 2003 08:20:21 +0000</pubDate>
		<dc:creator>Kellan</dc:creator>
				<category><![CDATA[Aside]]></category>
		<category><![CDATA[bayesian]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[udell]]></category>

		<guid isPermaLink="false">http://lm.quxx.info/?p=1880</guid>
		<description><![CDATA[It&#8217;s not just for spam anymore]]></description>
			<content:encoded><![CDATA[<p>It&#8217;s not just for spam anymore</p>
<p><a href='http://www.xml.com/lpt/a/2003/11/19/udell.html'>http://www.xml.com/lpt/a/2003/11/19/udell.html</a></p>]]></content:encoded>
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		<title>Events and Bayes</title>
		<link>http://laughingmeme.org/2003/04/20/events-and-bayes/</link>
		<comments>http://laughingmeme.org/2003/04/20/events-and-bayes/#comments</comments>
		<pubDate>Mon, 21 Apr 2003 01:07:55 +0000</pubDate>
		<dc:creator>Kellan</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[bayes]]></category>
		<category><![CDATA[bayesian]]></category>
		<category><![CDATA[calendaring]]></category>
		<category><![CDATA[events]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[protest.net]]></category>
		<category><![CDATA[social software]]></category>

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		<description><![CDATA[Inspired by a post to the python-list about using spambayes to classify defunct or out of date event listings,(via Uche Ogbuji), and a recent chat with Kendall I started playing with using it to identify spammed or inappropriate listings on Protest.net (and by extension other open publishing web applications). Initial progress was not promising. I [...]]]></description>
			<content:encoded><![CDATA[<p>
Inspired by  a post to the python-list about 
using 
<a href="http://spambayes.sf.net">spambayes</a> to <a href="http://mail.python.org/pipermail/python-list/2003-March/155527.html">classify defunct
or out of date event listings</a>,(via <a
href="http://www.oreillynet.com/pub/wlg/3025">Uche Ogbuji</a>), and a recent
chat with <a href="http://clark.dallas.tx.us/kendall/">Kendall</a> I started playing with using it to identify
spammed or inappropriate listings on Protest.net (and by extension other open
publishing web applications).  Initial progress was not promising.  I think it&#8217;s going to be need more time then a
distracted afternoon at <acronym title="who I'm not linking to because their
website resizes your window">Coffee Exchange</acronym> when I was really supposed to be working
on a cover letter or revising the resume.
</p>

<p><p>
The net simply wasn&#8217;t converging (learning) fast enough to get useful results. 
I think that I need to spend some time thinking about my token choices, which
will be substantially different then those used for email, to really
get this to work.
</p>
<p>
Deep down I really feel like these learning, emergent technologies are going to be an important enabler for the new wave of web experimentation going on under the moniker &#8220;social software&#8221;.
</p></p>
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