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  <title>A Bayesian viewpoint</title>
  <subtitle>bayesrules</subtitle>
  <author>
    <name>bayesrules</name>
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  <updated>2007-11-10T23:06:51Z</updated>
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    <id>urn:lj:livejournal.com:atom1:bayesrules:536</id>
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    <title>Who has looked at how "approximate" Fuzzy is?</title>
    <published>2007-11-10T23:05:21Z</published>
    <updated>2007-11-10T23:06:51Z</updated>
    <category term="reasoning"/>
    <category term="probability"/>
    <content type="html">...well to start right in on a probability theme, the question came up in discussion in the lobby at SFI's annual meeting about &lt;b&gt;Fuzzy logic.&lt;/b&gt;; Specifically its use in modeling.  The ML community has largely discounted its use, and the current texts just mention it in passing.    &lt;br /&gt;&lt;br /&gt;The point is to find a balanced comparison of Fuzzy and probabilistic methods. I know what you're thinking already -- so stop before you say it! I'm not advocating anything.  Its just merits a careful comparison of what is lost by Fuzzy approximations and what the gain is, in simplicity. &lt;br /&gt;&lt;br /&gt;I'll have to go back to ``pre-wikipedia'' sources (e.g. books) to work this one out.</content>
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