“隐变量学习”的概念、定义、翻译、参考文献-科学参考

隐变量学习

Encyclopedia

理学贝叶斯学习释
latent variable model隐变量学习
在统计学和机器学习领域中，隐变量模型（latent variable model）指的是含有隐变量的概率模型。隐变量是没有被直接观测到的变量，可以是客观存在的，也可以是人为构造的。隐变量模型在所涉及的观测变量和隐变量上定义一个联合概率分布，从而可以根据观测变量对隐变量进行推断。将联合分布边缘化，可以得到一个只涉及观测变量的联合分布，这使得可以度量模型与数据的拟合程度，从而进行参数学习和模型选择。

单词	隐变量学习
释义	隐变量学习 Encyclopedia 理学贝叶斯学习释 latent variable model隐变量学习在统计学和机器学习领域中，隐变量模型（latent variable model）指的是含有隐变量的概率模型。隐变量是没有被直接观测到的变量，可以是客观存在的，也可以是人为构造的。隐变量模型在所涉及的观测变量和隐变量上定义一个联合概率分布，从而可以根据观测变量对隐变量进行推断。将联合分布边缘化，可以得到一个只涉及观测变量的联合分布，这使得可以度量模型与数据的拟合程度，从而进行参数学习和模型选择。
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