Variational Inference

we also provide mean field variational inference for model learning.

本文给出了平均场变分推断法进行模型学习和推断的具体方法。

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variational inference is an important deterministic approximate inference method, which computes the approximate expectation of random variables through variational iterations.

变分推理应用变分迭代计算出随机变量的近似期望值，是现代人工智能学科一种重要的近似概率推理方法。

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probabilistic graphical model and variational inference is a new machine learning framework, and is a good method applied to uncertain problem or complex problem. it is applied in computer vision and natural language processing widely.

概率图模型和变分推理是一个新型的机器学习框架，是处理不确定性和复杂性问题的有力工具，被广泛应用于计算机视觉和自然语言处理等领域。

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second, the gaussian exact variational inference algorithm and the gaussian mean field variational inference algorithm are designed based on the gaussian markov random field models.

在高斯马尔可夫随机场基本模型上，设计了精确变分推理算法和均值场变分推理算法。

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the mean field variational method is a basic variational approximate inference method.

均值场变分方法是图模型最基本的变分近似推理方法。

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