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	<title>eng.kulanov.org.ua &#187; Machine Learning</title>
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	<description>GRID Compiting, Grid in Ukraine, Workload performance, modelling and prediction</description>
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		<title>Improve speed up for forward-backward algorithm</title>
		<link>http://eng.kulanov.org.ua/archives/294</link>
		<comments>http://eng.kulanov.org.ua/archives/294#comments</comments>
		<pubDate>Fri, 29 Jul 2011 12:32:37 +0000</pubDate>
		<dc:creator>Sergey Kulanov</dc:creator>
				<category><![CDATA[Matlab]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[freesoft]]></category>
		<category><![CDATA[GRID Simulation]]></category>
		<category><![CDATA[HMM]]></category>
		<category><![CDATA[howto]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Markov Chain]]></category>
		<category><![CDATA[Markov chain builder]]></category>
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		<category><![CDATA[Probability]]></category>
		<category><![CDATA[Science]]></category>

		<guid isPermaLink="false">http://eng.kulanov.org.ua/?p=294</guid>
		<description><![CDATA[In the previous post we were talking about repmat function in MEX format. We can reach further improvements if replace forward-backward procedure with C implementation (MEX format). The source code for the forward-backward in C can be found in PMTK which  is a collection of Matlab/Octave functions, written by Matt Dunham, Kevin Murphy. The results  [...]]]></description>
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		<title>Speeding up with repmat function (MEX version)</title>
		<link>http://eng.kulanov.org.ua/archives/285</link>
		<comments>http://eng.kulanov.org.ua/archives/285#comments</comments>
		<pubDate>Thu, 28 Jul 2011 19:39:44 +0000</pubDate>
		<dc:creator>Sergey Kulanov</dc:creator>
				<category><![CDATA[Matlab]]></category>
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		<category><![CDATA[GRID Simulation]]></category>
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		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Markov Chain]]></category>
		<category><![CDATA[Markov chain builder]]></category>
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		<description><![CDATA[To run your matlab applications with repmat &#8220;functionality&#8221; faster, you can use MEX format of this function from Lightspeed matlab toolbox. With the same initial conditions you can see &#8220;productivity boosting&#8221;. Figure 1 &#8211; with default repmat function. Figure 2 &#8211; with MEX version of repmat function.]]></description>
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		<title>Bayes’ Rule</title>
		<link>http://eng.kulanov.org.ua/archives/85</link>
		<comments>http://eng.kulanov.org.ua/archives/85#comments</comments>
		<pubDate>Wed, 13 Jan 2010 07:46:52 +0000</pubDate>
		<dc:creator>Sergey Kulanov</dc:creator>
				<category><![CDATA[Matlab]]></category>
		<category><![CDATA[Software]]></category>
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		<category><![CDATA[Machine Learning]]></category>

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		<description><![CDATA[The snapshot from the sideshow: ﻿﻿Click the image to enlarge Some information was taken from http://www.cs.bham.ac.uk/~axk/ML_new.htm]]></description>
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