A link delay distribution approach is proposed based on the dependence tree model and upward-downward algorithm.
利用依赖树模型和上向一下向算法，推测链路的时延分布。
Since basic TAN learning algorithm choice tree structure rooted randomly, that makes it unable to express the dependence among attributes accurately.
但传统TAN的构造算法中树的根结点是随意选择的，这使得其无法精确表达属性间的依赖关系。
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