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	<title>Comments on: Interesting papers at UAICMOLT 2009</title>
	<atom:link href="http://hunch.net/?feed=rss2&#038;p=813" rel="self" type="application/rss+xml" />
	<link>http://hunch.net/?p=813</link>
	<description>Machine learning and learning theory research</description>
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		<title>By: Itman</title>
		<link>http://hunch.net/?p=813&#038;cpage=1#comment-288787</link>
		<dc:creator>Itman</dc:creator>
		<pubDate>Fri, 24 Jul 2009 08:55:42 +0000</pubDate>
		<guid isPermaLink="false">http://hunch.net/?p=813#comment-288787</guid>
		<description>&lt;i&gt;This paper shows how to directly applying regression in high dimensional vector spaces and have it succeed anyways because the data is naturally low-dimensional.&lt;/i&gt;

So it is basically a dimensionality-reduction method? Is it a new one?</description>
		<content:encoded><![CDATA[<p><i>This paper shows how to directly applying regression in high dimensional vector spaces and have it succeed anyways because the data is naturally low-dimensional.</i></p>
<p>So it is basically a dimensionality-reduction method? Is it a new one?</p>
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		<title>By: Yisong Yue</title>
		<link>http://hunch.net/?p=813&#038;cpage=1#comment-286403</link>
		<dc:creator>Yisong Yue</dc:creator>
		<pubDate>Sun, 12 Jul 2009 18:30:48 +0000</pubDate>
		<guid isPermaLink="false">http://hunch.net/?p=813#comment-286403</guid>
		<description>I also found this paper very interesting:

&lt;a href=&quot;http://pages.cs.wisc.edu/~jdavis/davisICML09.pdf&quot; rel=&quot;nofollow&quot;&gt;Deep Transfer via Second-Order Markov Logic&lt;/a&gt; by &lt;a href=&quot;http://www.cs.washington.edu/homes/jdavis/&quot; rel=&quot;nofollow&quot;&gt;Jesse Davis&lt;/a&gt; and &lt;a href=&quot;http://www.cs.washington.edu/homes/pedrod/&quot; rel=&quot;nofollow&quot;&gt;Pedro Domingos&lt;/a&gt;.  The authors take a second-order statistical relational learning approach in order to determine the first-order relational regularities across different domains.</description>
		<content:encoded><![CDATA[<p>I also found this paper very interesting:</p>
<p><a href="http://pages.cs.wisc.edu/~jdavis/davisICML09.pdf" rel="nofollow">Deep Transfer via Second-Order Markov Logic</a> by <a href="http://www.cs.washington.edu/homes/jdavis/" rel="nofollow">Jesse Davis</a> and <a href="http://www.cs.washington.edu/homes/pedrod/" rel="nofollow">Pedro Domingos</a>.  The authors take a second-order statistical relational learning approach in order to determine the first-order relational regularities across different domains.</p>
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