<?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 on Victoria Dyster, PhD</title><link>http://victoriadyster.com/tags/feature-selection/</link><description>Recent content in Feature-Selection on Victoria Dyster, PhD</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 Victoria Dyster, PhD</copyright><lastBuildDate>Mon, 20 Jan 2025 00:00:00 +0000</lastBuildDate><atom:link href="http://victoriadyster.com/tags/feature-selection/index.xml" rel="self" type="application/rss+xml"/><item><title>When Random Features Work Just as Well</title><link>http://victoriadyster.com/blog/when-random-features-work-just-as-well/</link><pubDate>Mon, 20 Jan 2025 00:00:00 +0000</pubDate><guid>http://victoriadyster.com/blog/when-random-features-work-just-as-well/</guid><description>On the counterintuitive finding that randomly selecting features from high-dimensional genomic data often matches the performance of careful feature engineering and why that makes mathematical sense.</description></item></channel></rss>