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	<title>De Rerum Natura</title>
	<atom:link href="http://www.corrada.com/blog/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.corrada.com/blog</link>
	<description>Randomness, entropy, pattern matching, maps, geometry, knots, and scientific readings</description>
	<pubDate>Thu, 08 May 2008 02:27:16 +0000</pubDate>
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			<item>
		<title>Positive and negative precision error correlations, real or not?</title>
		<link>http://www.corrada.com/blog/2008/05/07/positive-and-negative-precision-error-correlations-real-or-not/</link>
		<comments>http://www.corrada.com/blog/2008/05/07/positive-and-negative-precision-error-correlations-real-or-not/#comments</comments>
		<pubDate>Thu, 08 May 2008 02:27:16 +0000</pubDate>
		<dc:creator>Andrés</dc:creator>
		
		<category><![CDATA[Compressed Sensing]]></category>

		<category><![CDATA[Error Theory]]></category>

		<guid isPermaLink="false">http://www.corrada.com/blog/?p=78</guid>
		<description><![CDATA[

	
	noisy-map




	
	ground-truth


All the experiments we have been carrying out with precision error have, so far, been with real data. Because of this, we do not have &#8220;ground truth&#8221; to determine if the reconstruction is correct. That changed today.
Synthetic experiments are a well-known device for studying models or algorithms. By artificially creating data where one knows exactly [...]]]></description>
		<wfw:commentRss>http://www.corrada.com/blog/2008/05/07/positive-and-negative-precision-error-correlations-real-or-not/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Not every measurement is perfect</title>
		<link>http://www.corrada.com/blog/2008/04/13/not-every-measurement-is-perfect/</link>
		<comments>http://www.corrada.com/blog/2008/04/13/not-every-measurement-is-perfect/#comments</comments>
		<pubDate>Mon, 14 Apr 2008 01:34:12 +0000</pubDate>
		<dc:creator>Andrés</dc:creator>
		
		<category><![CDATA[Multiple Choice Questions Exam]]></category>

		<category><![CDATA[precision error application]]></category>

		<guid isPermaLink="false">http://www.corrada.com/blog/?p=73</guid>
		<description><![CDATA[

	
	Decay of precision error estimate variance


Just to show that not all questions behave as nicely as question 9 in the previous post, here is the plot for question 6 in the same exam.The fit is not as good as for question 9. This is expected, there is no reason why the precision error should decay [...]]]></description>
		<wfw:commentRss>http://www.corrada.com/blog/2008/04/13/not-every-measurement-is-perfect/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Minimum number of questions revisited</title>
		<link>http://www.corrada.com/blog/2008/04/11/minimum-number-of-questions-revisited/</link>
		<comments>http://www.corrada.com/blog/2008/04/11/minimum-number-of-questions-revisited/#comments</comments>
		<pubDate>Sat, 12 Apr 2008 04:02:10 +0000</pubDate>
		<dc:creator>Andrés</dc:creator>
		
		<category><![CDATA[Randomness]]></category>

		<category><![CDATA[Multiple Choice Questions Exam]]></category>

		<guid isPermaLink="false">http://www.corrada.com/blog/?p=70</guid>
		<description><![CDATA[To show off the installation of FancyZoom (a trick I learned while visiting the excellent Language Log), I present a graph of the percentage variation in the mean square precision error as a function of the number of questions used to compute it. The image looks small but you can now click on it to [...]]]></description>
		<wfw:commentRss>http://www.corrada.com/blog/2008/04/11/minimum-number-of-questions-revisited/feed/</wfw:commentRss>
		</item>
		<item>
		<title>ICML accepts precision error via L1 minimization paper</title>
		<link>http://www.corrada.com/blog/2008/04/09/icml-accepts-precision-error-via-l1-minimization-paper/</link>
		<comments>http://www.corrada.com/blog/2008/04/09/icml-accepts-precision-error-via-l1-minimization-paper/#comments</comments>
		<pubDate>Wed, 09 Apr 2008 10:48:02 +0000</pubDate>
		<dc:creator>Andrés</dc:creator>
		
		<category><![CDATA[Compressed Sensing]]></category>

		<category><![CDATA[Fourier Analysis]]></category>

		<category><![CDATA[Group Theory]]></category>

		<category><![CDATA[MathML]]></category>

		<category><![CDATA[Mathematics]]></category>

		<category><![CDATA[Randomness]]></category>

		<category><![CDATA[Scientific Readings]]></category>

		<guid isPermaLink="false">http://www.corrada.com/blog/?p=69</guid>
		<description><![CDATA[Our technical report on how to recover precision error estimates with &ell; 1 -minimization has been accepted by the 2008 International Conference on Machine Learning.
The paper originally got three anonymous reviews. Two were positive, one strongly negative. In our response to the reviews, we agreed with the general criticism by the reviewers that one experimental [...]]]></description>
		<wfw:commentRss>http://www.corrada.com/blog/2008/04/09/icml-accepts-precision-error-via-l1-minimization-paper/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Precision error for parse trees</title>
		<link>http://www.corrada.com/blog/2008/04/01/precision-error-for-parse-trees/</link>
		<comments>http://www.corrada.com/blog/2008/04/01/precision-error-for-parse-trees/#comments</comments>
		<pubDate>Tue, 01 Apr 2008 05:20:21 +0000</pubDate>
		<dc:creator>Andrés</dc:creator>
		
		<category><![CDATA[Error Theory]]></category>

		<category><![CDATA[Graph Theory]]></category>

		<category><![CDATA[Natural Language Processing]]></category>

		<category><![CDATA[parse trees]]></category>

		<guid isPermaLink="false">http://www.corrada.com/blog/?p=68</guid>
		<description><![CDATA[The precision error equations require that &#8220;ground truth&#8221; cancel out. It is easy to see what that means for elevations in a map. What does it mean for parse trees in a natural language processing task like sentence parsing?
One way to define distance between trees is to consider the total number of reverse operations that [...]]]></description>
		<wfw:commentRss>http://www.corrada.com/blog/2008/04/01/precision-error-for-parse-trees/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Student answers versus random answers</title>
		<link>http://www.corrada.com/blog/2008/03/31/student-answers-versus-random-answers/</link>
		<comments>http://www.corrada.com/blog/2008/03/31/student-answers-versus-random-answers/#comments</comments>
		<pubDate>Mon, 31 Mar 2008 17:34:43 +0000</pubDate>
		<dc:creator>Andrés</dc:creator>
		
		<category><![CDATA[Compressed Sensing]]></category>

		<category><![CDATA[Randomness]]></category>

		<category><![CDATA[test assessment]]></category>

		<guid isPermaLink="false">http://www.corrada.com/blog/?p=65</guid>
		<description><![CDATA[An interesting baseline for thinking about precision error is to consider the case of uniformly random answers. The student may be completely ignorant: you gave a college level test to kindergarten kids. Your questions were so hard or so incomprehensible (think Chris Kattan&#8217;s mumbling character giving a &#8220;uupp-uizzz&#8221; (pop-quiz) to this students) that students are [...]]]></description>
		<wfw:commentRss>http://www.corrada.com/blog/2008/03/31/student-answers-versus-random-answers/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Mean precision error equations</title>
		<link>http://www.corrada.com/blog/2008/03/31/mean-precision-error-equations/</link>
		<comments>http://www.corrada.com/blog/2008/03/31/mean-precision-error-equations/#comments</comments>
		<pubDate>Mon, 31 Mar 2008 11:49:28 +0000</pubDate>
		<dc:creator>Andrés</dc:creator>
		
		<category><![CDATA[Randomness]]></category>

		<guid isPermaLink="false">http://www.corrada.com/blog/?p=64</guid>
		<description><![CDATA[Back in December, Howard Schultz and I wrote a paper for the IEEE Computer Vision and Pattern Recognition 2008 conference. The paper, by the way, was rejected by the reviewers (this should form an interesting article at some future time). In the paper we calculate the horizontal decorrelation length for a collection of maps using [...]]]></description>
		<wfw:commentRss>http://www.corrada.com/blog/2008/03/31/mean-precision-error-equations/feed/</wfw:commentRss>
		</item>
		<item>
		<title>MathML and WordPress shortcode API</title>
		<link>http://www.corrada.com/blog/2008/03/31/mathml-and-wordpress-shortcode-api/</link>
		<comments>http://www.corrada.com/blog/2008/03/31/mathml-and-wordpress-shortcode-api/#comments</comments>
		<pubDate>Mon, 31 Mar 2008 09:20:18 +0000</pubDate>
		<dc:creator>Andrés</dc:creator>
		
		<category><![CDATA[MathML]]></category>

		<guid isPermaLink="false">http://www.corrada.com/blog/?p=63</guid>
		<description><![CDATA[Version 2.5 of WordPress has introduced a &#8216;&#8217;shortcode&#8221; API that allows you to write things like

[caption]My caption[/caption]

and have WordPress post-process this with functions that have been registered to handle the caption block. Is this the way to integrate MathML and Latex into WordPress?
]]></description>
		<wfw:commentRss>http://www.corrada.com/blog/2008/03/31/mathml-and-wordpress-shortcode-api/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Asymmetry in likelihood of causing the error</title>
		<link>http://www.corrada.com/blog/2008/03/31/asymmetry-in-likelihood-of-causing-the-error/</link>
		<comments>http://www.corrada.com/blog/2008/03/31/asymmetry-in-likelihood-of-causing-the-error/#comments</comments>
		<pubDate>Mon, 31 Mar 2008 09:12:08 +0000</pubDate>
		<dc:creator>Andrés</dc:creator>
		
		<category><![CDATA[Error Theory]]></category>

		<category><![CDATA[Machine Learning]]></category>

		<guid isPermaLink="false">http://www.corrada.com/blog/?p=62</guid>
		<description><![CDATA[As the number of models increase, the observed pattern in prediction discrepancies allows one to decide what is causing it assuming  uniform uncertainty among all possible scenarios. The observed error pattern will be consistent with many different scenarios. In some scenarios, the noisy model predictions are due to the model being correct and the [...]]]></description>
		<wfw:commentRss>http://www.corrada.com/blog/2008/03/31/asymmetry-in-likelihood-of-causing-the-error/feed/</wfw:commentRss>
		</item>
		<item>
		<title>Who is causing the variations in predictions?</title>
		<link>http://www.corrada.com/blog/2008/03/30/who-is-causing-the-variations-in-predictions/</link>
		<comments>http://www.corrada.com/blog/2008/03/30/who-is-causing-the-variations-in-predictions/#comments</comments>
		<pubDate>Sun, 30 Mar 2008 16:33:55 +0000</pubDate>
		<dc:creator>Andrés</dc:creator>
		
		<category><![CDATA[Randomness]]></category>

		<guid isPermaLink="false">http://www.corrada.com/blog/2008/03/30/who-is-causing-the-variations-in-predictions/</guid>
		<description><![CDATA[Precision error is a measure of the variation in the predictions of a collection of models. If there are no variations &#8212; all the models agree. There is no precision error. One is perfectly in focus as far as one can tell. But, of course, scientific models disagree. So who is to blame? Is it [...]]]></description>
		<wfw:commentRss>http://www.corrada.com/blog/2008/03/30/who-is-causing-the-variations-in-predictions/feed/</wfw:commentRss>
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