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	<title>Comments on: Bayes’ Rule</title>
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	<description>GRID Compiting, Grid in Ukraine, Workload performance, modelling and prediction</description>
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		<title>By: Sergey Kulanov</title>
		<link>http://eng.kulanov.org.ua/archives/85/comment-page-1#comment-9</link>
		<dc:creator>Sergey Kulanov</dc:creator>
		<pubDate>Mon, 20 Sep 2010 05:45:06 +0000</pubDate>
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		<description>P(Cause&#124;Effect)=P(Effect&#124;Cause)*P(Cause)/P(Effect)
That is what we have in the influenza case:
What is the probability to catch influenza, if for example, we have a cough:

P(flu&#124;cough)=P(cough&#124;flu)*P(flu)/P(cough)

If we have some epidemic situation so P(flu) dramatically increase and P(flu&#124;cough) also increases.</description>
		<content:encoded><![CDATA[<p>P(Cause|Effect)=P(Effect|Cause)*P(Cause)/P(Effect)<br />
That is what we have in the influenza case:<br />
What is the probability to catch influenza, if for example, we have a cough:</p>
<p>P(flu|cough)=P(cough|flu)*P(flu)/P(cough)</p>
<p>If we have some epidemic situation so P(flu) dramatically increase and P(flu|cough) also increases.</p>
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		<title>By: Sergey Kulanov</title>
		<link>http://eng.kulanov.org.ua/archives/85/comment-page-1#comment-8</link>
		<dc:creator>Sergey Kulanov</dc:creator>
		<pubDate>Fri, 17 Sep 2010 15:17:58 +0000</pubDate>
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		<description>Excellent explanation http://yudkowsky.net/rational/bayes</description>
		<content:encoded><![CDATA[<p>Excellent explanation <a href="http://yudkowsky.net/rational/bayes" rel="nofollow">http://yudkowsky.net/rational/bayes</a></p>
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	<item>
		<title>By: Sergey Kulanov</title>
		<link>http://eng.kulanov.org.ua/archives/85/comment-page-1#comment-6</link>
		<dc:creator>Sergey Kulanov</dc:creator>
		<pubDate>Fri, 06 Aug 2010 17:08:16 +0000</pubDate>
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		<description>Posterior=(likelihood*Prior)/evidence</description>
		<content:encoded><![CDATA[<p>Posterior=(likelihood*Prior)/evidence</p>
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