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    <title>Random Hacks: Tag AI</title>
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    <ttl>40</ttl>
    <description>Technology and Other Fun Stuff</description>
    <item>
      <title>Machine Learning Links</title>
      <description>    &lt;p&gt;Useful sites about machine-learning algorithms, for developers of
    spam filters: &lt;a href='http://kiew.cs.uni-dortmund.de:8001/mlnet/'&gt;Machine Learning
    Network&lt;/a&gt;, the &lt;a href='http://www.cs.cmu.edu/~mccallum/bow/'&gt;Bow&lt;/a&gt;
    toolkit, &lt;a href='http://lsa.colorado.edu/whatis.html'&gt;Latent Semantic
    Analysis&lt;/a&gt; (used by Apple's mail client), &lt;a href='http://elib.cs.berkeley.edu/papers/clustering/bayesian/'&gt;Bayesian
    Latent Semantic Analysis&lt;/a&gt;, &lt;a href='http://www2.parc.com/istl/projects/ia/sg-clustering.html'&gt;text
    clustering&lt;/a&gt;, &lt;a href='http://dewey.yonsei.ac.kr/memexlee/links/clustering.htm'&gt;more
    text clustering&lt;/a&gt;, &lt;a href='http://www.cis.ohio-state.edu/~srini/papers/TM01.pdf'&gt;Using
    Clustering to Boost Text Classification&lt;/a&gt; (PDF) and &lt;a href='http://www.cs.helsinki.fi/group/dime/lado/s01/exerc/samples.txt'&gt;TFIDF
    notes&lt;/a&gt;.&lt;/p&gt;

    &lt;p&gt;I wouldn't be
    entirely surpised if neural networks worked well here, either--the
    problem has that "figure out where to draw the boundaries between
    clusters" aspect that maps nicely onto the math of neural
    networks.&lt;/p&gt;</description>
      <pubDate>Mon, 23 Sep 2002 00:00:00 -0400</pubDate>
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      <author>Eric</author>
      <link>http://www.randomhacks.net/articles/2002/09/23/machine-learning-links</link>
      <category>Spam</category>
      <category>AI</category>
      <category>Probability</category>
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