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	<title>Yet Another Machine Learning Blog</title>
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		<title>Yet Another Machine Learning Blog</title>
		<link>http://yamlb.wordpress.com</link>
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	<atom:link rel="search" type="application/opensearchdescription+xml" href="http://yamlb.wordpress.com/osd.xml" title="Yet Another Machine Learning Blog" />
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		<item>
		<title>The slowest clustering algorithm ever</title>
		<link>http://yamlb.wordpress.com/2009/03/04/the-slowest-clustering-algorithm-ever/</link>
		<comments>http://yamlb.wordpress.com/2009/03/04/the-slowest-clustering-algorithm-ever/#comments</comments>
		<pubDate>Wed, 04 Mar 2009 20:44:46 +0000</pubDate>
		<dc:creator>yamlb</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://yamlb.wordpress.com/?p=68</guid>
		<description><![CDATA[Clustering as &#8220;Merge growing bubbles&#8221; GrowAndMergeClustering Code (requires mpgwrite) Sorry for the bad indentation (anybody knows an easy way to put Matlab code in wordpress.com?) function bubble_clustering_example() % Pierre Dangauthier % 2 decembre 2008 % % Bubble clustering is a naive O(n^2) algorithm for clustering, based on % euclidian distances. % % Idea :  &#8220;Grow [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=yamlb.wordpress.com&amp;blog=874855&amp;post=68&amp;subd=yamlb&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>1</slash:comments>
	
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			<media:title type="html">yamlb</media:title>
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		<item>
		<title>A lunch break tribute to xkcd</title>
		<link>http://yamlb.wordpress.com/2009/03/03/a-lunch-break-tribute-to-xkcd/</link>
		<comments>http://yamlb.wordpress.com/2009/03/03/a-lunch-break-tribute-to-xkcd/#comments</comments>
		<pubDate>Tue, 03 Mar 2009 23:32:02 +0000</pubDate>
		<dc:creator>yamlb</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://yamlb.wordpress.com/?p=81</guid>
		<description><![CDATA[Dating pool size of UK heterosexual men as function of age and the &#8216;creepiness standard&#8217; rule. Implementation of http://xkcd.com/314/ with UK data. Results maybe a bit optimistic (or pessimistic, depending on your utility function) due to the definition &#8220;single = alive unmarried non-widow&#8221;.<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=yamlb.wordpress.com&amp;blog=874855&amp;post=81&amp;subd=yamlb&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>2</slash:comments>
	
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			<media:title type="html">yamlb</media:title>
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			<media:title type="html">Dating Pools</media:title>
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			<media:title type="html">datingpool</media:title>
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		<title>Why 2 random vectors are orthogonal in high dimention?</title>
		<link>http://yamlb.wordpress.com/2008/05/20/why-2-random-vectors-are-orthogonal-in-high-dimention/</link>
		<comments>http://yamlb.wordpress.com/2008/05/20/why-2-random-vectors-are-orthogonal-in-high-dimention/#comments</comments>
		<pubDate>Tue, 20 May 2008 23:41:41 +0000</pubDate>
		<dc:creator>yamlb</dc:creator>
				<category><![CDATA[Inference]]></category>
		<category><![CDATA[Modeling]]></category>

		<guid isPermaLink="false">http://yamlb.wordpress.com/?p=65</guid>
		<description><![CDATA[[Note: correct date of this post: August 23, 2007 on 3:01 pm ] In a recent comment, Nhat Vo wrote : You wrote &#8220;Indeed, in hight dimensional spaces, 2 random vectors are almost always orthogonal&#8221;. Do you have any reference or proof for that? Here is the sketch of a proof. Consider 2 random vectors [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=yamlb.wordpress.com&amp;blog=874855&amp;post=65&amp;subd=yamlb&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>11</slash:comments>
	
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			<media:title type="html">yamlb</media:title>
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		<title>Link to real blog</title>
		<link>http://yamlb.wordpress.com/2007/03/14/3/</link>
		<comments>http://yamlb.wordpress.com/2007/03/14/3/#comments</comments>
		<pubDate>Wed, 14 Mar 2007 14:35:28 +0000</pubDate>
		<dc:creator>yamlb</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://yamlb.wordpress.com/2007/03/14/3/</guid>
		<description><![CDATA[ALL THE POSTS OLDER THAN THIS ONE are copied from http://emotion.inrialpes.fr/~dangauthier/blog Please go there. Update: do not go there ! it&#8217;s not working properly. I&#8217;ll progressively move old the old content to this (http://yamlb.wordpress.com/) page.<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=yamlb.wordpress.com&amp;blog=874855&amp;post=3&amp;subd=yamlb&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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			<media:title type="html">yamlb</media:title>
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		<title>Ranking conferences</title>
		<link>http://yamlb.wordpress.com/2007/03/09/ranking-conferences/</link>
		<comments>http://yamlb.wordpress.com/2007/03/09/ranking-conferences/#comments</comments>
		<pubDate>Fri, 09 Mar 2007 14:47:24 +0000</pubDate>
		<dc:creator>yamlb</dc:creator>
				<category><![CDATA[research life]]></category>
		<category><![CDATA[Work]]></category>

		<guid isPermaLink="false">http://yamlb.wordpress.com/2007/03/09/ranking-conferences/</guid>
		<description><![CDATA[In the machine learning/artificial intelligence field, conferences are as important as journals. Maybe even more important. Having a good publication list is crutial for a researcher, for getting a PhD degree, finding a postdoc, a job, a grant, being promoted, becoming famous and ultimately getting married. (I&#8217;m not sure for the last one, does anybody [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=yamlb.wordpress.com&amp;blog=874855&amp;post=63&amp;subd=yamlb&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>4</slash:comments>
	
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			<media:title type="html">yamlb</media:title>
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		<title>Some quotes about entropy</title>
		<link>http://yamlb.wordpress.com/2007/02/23/some-quotes-about-entropy/</link>
		<comments>http://yamlb.wordpress.com/2007/02/23/some-quotes-about-entropy/#comments</comments>
		<pubDate>Fri, 23 Feb 2007 16:08:21 +0000</pubDate>
		<dc:creator>yamlb</dc:creator>
				<category><![CDATA[philosophy]]></category>

		<guid isPermaLink="false">http://yamlb.wordpress.com/2007/02/23/some-quotes-about-entropy/</guid>
		<description><![CDATA[&#8220;Nothing in life is certain except death, taxes and the second law of thermodynamics. All three are processes in which useful or accessible forms of some quantity, such as energy or money, are transformed into useless, inaccessible forms of the same quantity. That is not to say that these three processes don&#8217;t have fringe benefits: [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=yamlb.wordpress.com&amp;blog=874855&amp;post=62&amp;subd=yamlb&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>http://yamlb.wordpress.com/2007/02/23/some-quotes-about-entropy/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
	
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			<media:title type="html">yamlb</media:title>
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			<media:title type="html">boltzmann</media:title>
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		<title>Bayesian century</title>
		<link>http://yamlb.wordpress.com/2007/01/16/bayesian-century/</link>
		<comments>http://yamlb.wordpress.com/2007/01/16/bayesian-century/#comments</comments>
		<pubDate>Tue, 16 Jan 2007 14:19:51 +0000</pubDate>
		<dc:creator>yamlb</dc:creator>
				<category><![CDATA[philosophy]]></category>

		<guid isPermaLink="false">http://yamlb.wordpress.com/2007/01/16/bayesian-century/</guid>
		<description><![CDATA[Bayesian Rationality: Bayesian rationality is a probabilistic approach to reasoning. Bayesian rationalists describe probability as the degree to which a person should believe a proposition. They also apply Bayes&#8217; theorem when inferring or updating their degree of belief when given new information. Some scientists and epistemologists hope to replace the Popperian view of proof with [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=yamlb.wordpress.com&amp;blog=874855&amp;post=61&amp;subd=yamlb&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>http://yamlb.wordpress.com/2007/01/16/bayesian-century/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
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			<media:title type="html">yamlb</media:title>
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		<title>Probability in a philosophical nutshell</title>
		<link>http://yamlb.wordpress.com/2006/12/06/probability-in-a-philosophical-nutshell/</link>
		<comments>http://yamlb.wordpress.com/2006/12/06/probability-in-a-philosophical-nutshell/#comments</comments>
		<pubDate>Wed, 06 Dec 2006 00:31:11 +0000</pubDate>
		<dc:creator>yamlb</dc:creator>
				<category><![CDATA[philosophy]]></category>

		<guid isPermaLink="false">http://yamlb.wordpress.com/2006/12/06/probability-in-a-philosophical-nutshell/</guid>
		<description><![CDATA[Nihilism holds that there is no inherent meaning, value, truth or purpose to the world. Agnosticism holds that the truth is either not known or inherently unknowable. Uncertainty is the state of being in doubt. Probability is a function used to assign odds to that which is unknown by way of what is known. Estimation [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=yamlb.wordpress.com&amp;blog=874855&amp;post=60&amp;subd=yamlb&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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			<media:title type="html">yamlb</media:title>
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		<title>A simple MCMC code in python</title>
		<link>http://yamlb.wordpress.com/2006/11/25/a-simple-mcmc-code-in-python/</link>
		<comments>http://yamlb.wordpress.com/2006/11/25/a-simple-mcmc-code-in-python/#comments</comments>
		<pubDate>Sat, 25 Nov 2006 17:33:04 +0000</pubDate>
		<dc:creator>yamlb</dc:creator>
				<category><![CDATA[Inference]]></category>

		<guid isPermaLink="false">http://yamlb.wordpress.com/2006/11/25/a-simple-mcmc-code-in-python/</guid>
		<description><![CDATA[What :Implementation of a simple MCMC Gibbs sampler. Goal : find the 2 means of mixture of 2 gaussians (with known variances and mixing proportion). How : Compute the bayesian posterior on the means, with a flat prior. Gibbs sampling : introduce a hidden association variable A[i] for each data i. Sample iteratively on A, [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=yamlb.wordpress.com&amp;blog=874855&amp;post=59&amp;subd=yamlb&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>http://yamlb.wordpress.com/2006/11/25/a-simple-mcmc-code-in-python/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
	
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			<media:title type="html">yamlb</media:title>
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			<media:title type="html">MCMC posteriors</media:title>
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		<title>Disapointed by your Netflix results ?</title>
		<link>http://yamlb.wordpress.com/2006/11/24/disapointed-by-your-netflix-results/</link>
		<comments>http://yamlb.wordpress.com/2006/11/24/disapointed-by-your-netflix-results/#comments</comments>
		<pubDate>Fri, 24 Nov 2006 09:51:12 +0000</pubDate>
		<dc:creator>yamlb</dc:creator>
				<category><![CDATA[Modeling]]></category>

		<guid isPermaLink="false">http://yamlb.wordpress.com/2006/11/24/disapointed-by-your-netflix-results/</guid>
		<description><![CDATA[<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=yamlb.wordpress.com&amp;blog=874855&amp;post=58&amp;subd=yamlb&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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		<slash:comments>8</slash:comments>
	
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			<media:title type="html">yamlb</media:title>
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