decision node

decision node的基本解释

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决策点, 决策结点

与decision node相关的网络例句 [注：此内容来源于网络，仅供参考]

Keynesia thinks significant demand is the node of total supply and total demand function, it is balanced dot, this come from at entrepreneur profit the biggest those who change is decision-making, yield the decision from this and the limit efficiency that the significant demand of Keynesia of obtain employment; still contacts consumptive function and capital, regarding them is magnitude of value of a kind of currency, discuss in system of banking of a money put quantity and flow while balanced; in addition, cantabrigian growth model is hind the Keynesia development to Kalaiciji's economics.

凯恩斯则认为有效需求是总供给和总需求函数的交点，它是一个均衡点，这一点来自于企业家利润最大化的决策，由此将决定产出和就业；凯恩斯的有效需求还联系到消费函数和资本的边际效率，把它们看作是一种货币价值量，在一个货币金融体系中讨论存量和流量的同时均衡；此外，剑桥增长模型是后凯恩斯对卡莱茨基的经济学的发展。

Theoretically,we simplify the proof of 〓-decidability,and practically,prompt the node-prune efficiency in Thistlewaite's decision procedure.

在理论上化简了〓的可判定性证明，在实现中提高了Thistlewaite判定过程的剪枝效率。

This model uses nonlinear mapping to map samples into high dimensional feature space, and compares the distribution of each type of samples in the high dimensional space. So that a binary decision tree is constructed through clustering, which can make the more separable classes classified at the upper node of the binary decision tree. The model overcomes the accumulation of misclassification and avoids the condition of impartibility efficiently. At the same time, each node of decision tree uses binary least squares wavelet support vector machine to obtain higher generalization ability.

该模型利用非线性映射将样本投影到高维特征空间，比较每类样本在高维空间的分布情况，进行聚类构造出一个二叉决策树，使容易区分的类别从根节点逐层分类出来，有效克服了错分积累和避免不可分情况；同时，各个节点采用二值最小二乘小波支持向量机，以获得较高的泛化能力。