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    <title>links.lmorchard.com - #bayes</title>
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    <description>Recent bookmarks tagged #bayes</description>
    <lastBuildDate>Mon, 02 Nov 2026 08:24:53 +0000</lastBuildDate>
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      <title>Everything Burns: The Daily Bayes</title>
      <link>http://jimfl.tensegrity.net/eb/archives/001423.shtml</link>
      <description>&#34;Combine the naïve Bayesian classifier at the core of many spam filters with a pool of RSS news feeds and, with a little training, it would be able to decide which news items you got presented with.&#34;  Mental note to remember this article.&lt;br/&gt;&#xA;&lt;p&gt;&lt;strong&gt;Tags:&lt;/strong&gt; #bayes #rss #syndication&lt;/p&gt;</description>
      <pubDate>Fri, 22 Apr 2005 18:19:14 +0000</pubDate>
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      <category>bayes</category>
      <category>rss</category>
      <category>syndication</category>
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    <item>
      <title>btail - a bayesian log filter</title>
      <link>http://www.vanheusden.com/btail</link>
      <description>&lt;p&gt;&lt;strong&gt;Tags:&lt;/strong&gt; #bayes #filtering #logging #sysadmin #tail #unix #utilities&lt;/p&gt;</description>
      <pubDate>Sun, 02 Jan 2005 18:04:01 +0000</pubDate>
      <guid isPermaLink="false">linkding-ssg:bookmark:3855</guid>
      <category>bayes</category>
      <category>filtering</category>
      <category>logging</category>
      <category>sysadmin</category>
      <category>tail</category>
      <category>unix</category>
      <category>utilities</category>
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