<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Metric Learning on 111qqz's blog</title><link>https://111qqz.com/en/tags/metric-learning/</link><description>Recent content in Metric Learning on 111qqz's blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2015-2026 111qqz</copyright><lastBuildDate>Sun, 18 Feb 2018 08:14:10 +0000</lastBuildDate><atom:link href="https://111qqz.com/en/tags/metric-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Similarity learning 和Metric learning</title><link>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89/2018-02-18-similarity-learning-metric-learning/</link><pubDate>Sun, 18 Feb 2018 08:14:10 +0000</pubDate><guid>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89/2018-02-18-similarity-learning-metric-learning/</guid><description>&lt;h2 class="relative group"&gt;&lt;a href="https://en.wikipedia.org/wiki/Similarity_learning" target="_blank" rel="noreferrer"&gt;Similarity_learning&lt;/a&gt;
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&lt;p&gt;相似性学习（Similarity learning ）有监督机器学习，它与回归和分类密切相关，但目标是从实例中学习一个相似函数，&lt;strong&gt;以衡量两个对象的相似程度或相关程度。&lt;/strong&gt;&lt;/p&gt;</description></item></channel></rss>