<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>概率模型 on AI 早报</title><link>https://ai-news.example.com/categories/%E6%A6%82%E7%8E%87%E6%A8%A1%E5%9E%8B/</link><description>Recent content in 概率模型 on AI 早报</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Sun, 05 Jul 2026 01:52:03 +0800</lastBuildDate><atom:link href="https://ai-news.example.com/categories/%E6%A6%82%E7%8E%87%E6%A8%A1%E5%9E%8B/feed.xml" rel="self" type="application/rss+xml"/><item><title>[EN] AutoBNN：谷歌开源概率时间序列预测工具，结合贝叶斯神经网络与可解释性</title><link>https://ai-news.example.com/articles/en-autobnn/</link><pubDate>Sun, 05 Jul 2026 01:52:03 +0800</pubDate><guid>https://ai-news.example.com/articles/en-autobnn/</guid><description>谷歌推出开源工具AutoBNN，基于组合贝叶斯神经网络，自动发现可解释的时间序列预测模型，提供高质量的不确定性估计，并在大规模数据集上高效扩展。</description></item></channel></rss>