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英语翻译2.3.3 Approximate Probabilistic Inference近似?概率推理For thos

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英语翻译

2.3.3 Approximate Probabilistic Inference
近似?概率推理
For those graphical models with dense connections,the Junction Tree algorithmusually in-
dacesan intractable tree with large tree-width.For random field models,the partition func-
tionsin their distributions usually are also intractable in computation.Thus wehave to resort
toapproximate approaches.There are two primary approaches in the literature:variational
approximationand sampling-based approximation.
以上手打的 可能有错误 图片为准
近似概率推理
对于那些带有密集连接的图形模型,联合树算法通常引出一个带有巨大树冠的棘手的树结果.对于随机场模型,在其分布的分区功能通常在计算上也是颇为棘手的.因此我们不得不借助近似方法.文献中介绍了两种主要方法:变分近似法和抽样近似法.
再问: 下面的 麻烦帮我翻译下,追加20分,感谢
再答: 最好打出来,有点错误不要紧
再问: The general variational method introduces
an approximating family of label probability distributions, which have a simpler form
than the original distribution such that the inference is tractable字数限制
再答: 没有给你翻译完你就采纳了?不好意思,等我找空给你翻译完吧!