<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>贝叶斯 on s-ai-unix's Blog</title><link>https://s-ai-unix.github.io/tags/%E8%B4%9D%E5%8F%B6%E6%96%AF/</link><description>Recent content in 贝叶斯 on s-ai-unix's Blog</description><generator>Hugo -- 0.161.1</generator><language>zh-cn</language><lastBuildDate>Wed, 21 Jan 2026 10:00:00 +0800</lastBuildDate><atom:link href="https://s-ai-unix.github.io/tags/%E8%B4%9D%E5%8F%B6%E6%96%AF/index.xml" rel="self" type="application/rss+xml"/><item><title>贝叶斯公式：从牧师遗作到人工智能基石</title><link>https://s-ai-unix.github.io/posts/2026-01-21-bayes-theorem/</link><pubDate>Wed, 21 Jan 2026 10:00:00 +0800</pubDate><guid>https://s-ai-unix.github.io/posts/2026-01-21-bayes-theorem/</guid><description>本文系统梳理贝叶斯公式从18世纪诞生到21世纪成为人工智能核心方法的完整发展历程，包含严谨的数学推导、丰富的历史背景和现代应用案例。</description></item></channel></rss>