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。
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。
应用推荐