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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deep Learning using Linear Support Vector Machines · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1306.0239/</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/1306.0239/feed.xml" rel="self" type="application/rss+xml" /><item><title>Deep Learning using Linear Support Vector Machines — mentioned by bun-neh</title><link>https://news.ycombinator.com/item?id=6036132</link><guid isPermaLink="false">urn:hackerpapers:mention:1306.0239:6036132</guid><pubDate>Sat, 13 Jul 2013 00:12:28 GMT</pubDate><description>&lt;p&gt;There was a paper not too far back that used SVMs in deep learning and leaped over the then state-of-the-art performance. http://arxiv.org/abs/1306.0239&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1306.0239/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Deep Learning using Linear Support Vector Machines — HN submission</title><link>https://news.ycombinator.com/item?id=5823956</link><guid isPermaLink="false">urn:hackerpapers:submission:1306.0239:5823956</guid><pubDate>Wed, 05 Jun 2013 05:57:31 GMT</pubDate><description>&lt;p&gt;Deep Learning using Support Vector Machines&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1306.0239/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
