<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Feature Selection |</title><link>http://kalz.cc/tags/feature-selection/</link><atom:link href="http://kalz.cc/tags/feature-selection/index.xml" rel="self" type="application/rss+xml"/><description>Feature Selection</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 03 Dec 2019 11:02:28 +0200</lastBuildDate><image><url>http://kalz.cc/media/icon_hu_1c0e9cb08cfb822a.png</url><title>Feature Selection</title><link>http://kalz.cc/tags/feature-selection/</link></image><item><title>Identifying Critical Features for Formative Essay Feedback with Artificial Neural Networks and Backward Elimination</title><link>http://kalz.cc/publication/identifying-critical-features-for-formative-essay-feedback-with-artificial-neural-networks-and-backward-elimination/</link><pubDate>Tue, 03 Dec 2019 11:02:28 +0200</pubDate><guid>http://kalz.cc/publication/identifying-critical-features-for-formative-essay-feedback-with-artificial-neural-networks-and-backward-elimination/</guid><description>&lt;p&gt;Abbas, M., van Rosmalen, P., &amp;amp; Kalz, M. (2019). Identifying critical features for formative essay feedback with artificial neural networks and backward elimination. In Scheffel, M., Broisin, J., Pammer-Schindler, V., Ioannou, A., Schneider, J. (eds) &lt;em&gt;Transforming Learning with Meaningful Technologies. EC-TEL 2019.&lt;/em&gt; (pp. 396-408). Lecture Notes in Computer Science, vol 11722. Springer, Cham.
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