<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hierarchical on 中文AI术语词典</title><link>https://terms-en.ai-term-hub.com/zh/tags/hierarchical/</link><description>Recent content in Hierarchical on 中文AI术语词典</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sat, 18 Jul 2026 11:44:45 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/zh/tags/hierarchical/index.xml" rel="self" type="application/rss+xml"/><item><title>贝叶斯编程</title><link>https://terms-en.ai-term-hub.com/zh/terms/bayesian_programming/</link><pubDate>Sat, 18 Jul 2026 11:09:03 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/zh/terms/bayesian_programming/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>贝叶斯编程是一种数学框架，它将贝叶斯定理泛化以处理复杂的多层概率依赖关系。它允许开发者定义分层模型，其中变量之间存在条件依赖结构，从而能够更灵活地建模不确定性。&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>一种形式化的概率推理框架，将贝叶斯推断扩展至复杂的分层模型。&lt;/p>
&lt;h2 id="key-concepts">Key Concepts&lt;/h2>
&lt;ul>
&lt;li>分层建模&lt;/li>
&lt;li>概率推理&lt;/li>
&lt;li>条件独立性&lt;/li>
&lt;li>不确定性量化&lt;/li>
&lt;/ul>
&lt;h2 id="use-cases">Use Cases&lt;/h2>
&lt;ul>
&lt;li>机器人感知系统&lt;/li>
&lt;li>自然语言处理&lt;/li>
&lt;li>医疗诊断支持&lt;/li>
&lt;/ul>
&lt;h2 id="related-terms">Related Terms&lt;/h2>
&lt;ul>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/bayesian-inference-%E8%B4%9D%E5%8F%B6%E6%96%AF%E6%8E%A8%E6%96%AD/">Bayesian inference (贝叶斯推断)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/probabilistic-graphical-models-%E6%A6%82%E7%8E%87%E5%9B%BE%E6%A8%A1%E5%9E%8B/">Probabilistic graphical models (概率图模型)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/markov-chains-%E9%A9%AC%E5%B0%94%E5%8F%AF%E5%A4%AB%E9%93%BE/">Markov chains (马尔可夫链)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/latent-variable-models-%E6%BD%9C%E5%8F%98%E9%87%8F%E6%A8%A1%E5%9E%8B/">Latent variable models (潜变量模型)&lt;/a>&lt;/li>
&lt;/ul></description></item></channel></rss>