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	<title>Yangtheman &#187; Markov chain</title>
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	<description>Life hacker</description>
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		<title>My answer to text-dynamo</title>
		<link>http://blog.yangtheman.com/2010/02/22/my-naswer-to/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=my-naswer-to</link>
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		<pubDate>Tue, 23 Feb 2010 05:09:37 +0000</pubDate>
		<dc:creator>Yang Chung</dc:creator>
				<category><![CDATA[Ruby on Rails]]></category>
		<category><![CDATA[Markov chain]]></category>
		<category><![CDATA[Probability]]></category>
		<category><![CDATA[Randomness]]></category>
		<category><![CDATA[Ruby]]></category>

		<guid isPermaLink="false">http://blog.yangtheman.com/?p=266</guid>
		<description><![CDATA[As an exercise to practice Ruby, you can try to compete a random text generator using an underlying Markov chain model. The codes in the following github account are incomplete. You are supposed to fill in or create methods that will create randomly generated texts given seed texts.
http://github.com/eandrejko/text-dynamo
Markov chain is like a state machine, but [...]]]></description>
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