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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>False discovery rate smoothing · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1411.6144/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1411.6144/feed.xml" rel="self" type="application/rss+xml" /><item><title>False discovery rate smoothing — mentioned by tansey</title><link>https://news.ycombinator.com/item?id=8899739</link><guid isPermaLink="false">urn:hackerpapers:mention:1411.6144:8899739</guid><pubDate>Fri, 16 Jan 2015 16:11:19 GMT</pubDate><description>&lt;p&gt;Indeed! I have a particularly relevant horror story. For one of my graduate classes, I built a game where two people (a liar and a truth teller) would try to convince a third person (the judge) they had experienced something. The goal was to see if people used different language when lying than they did when telling the truth. It was a fun project and we were focused more on the NLP/ML side of things. Turns out to be reasonably possible to separate our ~500 examples via a linear SVM, with some interesting separating words. That&amp;#x27;s where our claims stopped. Then I took the results to a…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1411.6144/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ME</category></item></channel></rss>
