<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Online Learning on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/online-learning/</link><description>Recent content in Online Learning on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/online-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Multiplicative weight update method</title><link>https://terms-en.ai-term-hub.com/en/terms/multiplicative_weight_update_method/</link><pubDate>Sat, 18 Jul 2026 10:08:53 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/multiplicative_weight_update_method/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>The multiplicative weight update method is a fundamental online learning algorithm used to make decisions in uncertain environments. It maintains a set of weights for different strategies or experts, updating them multiplicatively based on their past performance. Strategies that perform well have their weights increased, while poor performers see their weights decreased. This method is widely used in game theory, optimization, and machine learning for constructing efficient prediction algorithms with provable convergence guarantees.&lt;/p></description></item></channel></rss>