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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Artificial Neural Networks Applied to Taxi Destination Prediction · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1508.00021/</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/1508.00021/feed.xml" rel="self" type="application/rss+xml" /><item><title>Artificial Neural Networks Applied to Taxi Destination Prediction — mentioned by axiom92</title><link>https://news.ycombinator.com/item?id=14346684</link><guid isPermaLink="false">urn:hackerpapers:mention:1508.00021:14346684</guid><pubDate>Tue, 16 May 2017 01:19:09 GMT</pubDate><description>&lt;p&gt;&amp;gt;...but if you problem is, given an input of say [price, date, origin] and an output of [value to business], you can solve that problem quite trivially without needing any neural network. That&amp;#x27;s one general statement over another. Consider https://arxiv.org/abs/1508.00021 as a counterexample.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1508.00021/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
