<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Model-Evaluation on mlbot.blog</title><link>https://mlbot.blog/tags/model-evaluation/</link><description>Recent content in Model-Evaluation on mlbot.blog</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Sat, 05 Sep 2026 14:52:57 +0530</lastBuildDate><atom:link href="https://mlbot.blog/tags/model-evaluation/index.xml" rel="self" type="application/rss+xml"/><item><title>A Bayesian Filter Repair That Did Not Pass the Full Test</title><link>https://mlbot.blog/posts/bayesian-filter-repair-stopping-rule/</link><pubDate>Sat, 05 Sep 2026 14:44:12 +0530</pubDate><guid>https://mlbot.blog/posts/bayesian-filter-repair-stopping-rule/</guid><description>&lt;p&gt;A four-Gaussian Bayesian filter tracked a switching motion model well on average.
It also assigned much too little density to the realized state at one observation.
We traced that miss to the way it merged Gaussian components, then tested one
classical replacement. The large miss disappeared, and the replacement stayed
within the time and memory budgets.&lt;/p&gt;</description></item></channel></rss>