Figure 2-proxy server traversal decision tree.
图2——代理服务器遍历决策树。
Should you use a rule set or a decision tree to define a group of rules?
您应该使用规则集或决策树来定义一组规则吗？
Some people find it helpful to make a decision tree, which lays out every possibility in visual format.
有些人发现列出一张决定树很有帮助，它会以视觉的格式列出每一个可能性。
A decision tree is just a way of diagramming the choices that affect your health and weighing the risks and benefits of each.
“决策树”仅是一种方法，它罗列出影响你健康的选项，并对每个选项存在的风险和好处进行评估。
By creating a classification tree (a decision tree), the data can be mined to determine the likelihood of this person to buy a new M5.
创建一个分类树(一个决策树)，并借此挖掘数据就可以确定这个人购买一辆新的M5的可能性有多大。
Simplifying trees is the key part of decision tree induction learning.
树的简化是决策树归纳学习中关键的部分。
An algorithm of the decision tree based on class feature matrix is proposed.
提出了一种基于类别特征矩阵的决策树算法。
Based on the above analysis, a new algorithm of decision tree induction is proposed.
基于上述分析，提出了决策树优化算法。
The thesis researches an algorithm based on decision tree classifier for packet filtering.
本文提出了一种基于决策树分类器的数据包分类算法。
An MSS spectral form correlation model and a histogram decision tree classifier are presented.
本文提出MSS数据波谱形态相关模型和直方图决策树分类法。
A hierarchical decomposed support vector machines binary decision tree is used for classification.
采用一种层次分解的支持向量机二叉决策树进行分类识别。
ID3 algorithm is the most basic algorithm in the decision tree learning, and has a wide application.
ID 3算法是最基本的决策树学习算法，有很广的应用。
In the paper, the problem of freeway incident duration prediction is studied by decision tree method.
利用决策树方法对高速公路事件持续时间预测问题进行研究。
Minimum entropy is chosen as a heuristic strategy in decision tree (DT) learning algorithm such as ID3.
决策树的学习算法，比如id3算法，选用最小信息熵作为启发式信息。
This paper proposes an efficient algorithm for constructing decision tree and then mapping it to neural net.
本文提出一个有效的算法，先构造决策树，然后将构造的决策树转换为神经网。
This paper proposes a text classification method based on Cloud Theory and neural network structure decision tree.
提出一种基于云理论和神经网络构造决策树的文本分类方法。
The algorithm constructs decision tree using an improved ID3 algorithm, and fills the missing data by decision rules.
该算法应用改进的ID 3算法来构造决策树，利用决策规则对缺失值进行补充。
Compared with artificial classification, nerve network, and decision tree, its test error is low and the speed is high.
该方法与人工分类、神经网络、决策树等方法比较，其测试误差低，测试速度高。
Variety bias exists in many decision tree algorithms, and in the past people analyzed this problem mainly based on experiments.
多值偏向是决策树算法中普遍存在的问题，以往人们对于多值偏向问题的分析主要是基于实验观测的。
The introduction of generalized decision tree(GDT) realized the unification of classification rules and decision tree structure.
文章引入了广义决策树的概念，实现了分类规则集和决策树结构的统一。
The decision tree is a frequently-used classification method in data mining, it is easy to understand and large in scope to apply.
决策树是数据挖掘技术中一种常用的分类方法，易于理解，应用范围广泛。
Results indicate that the performance of the metric-based decision tree is some better than that of the conventional decision tree.
试验结果表明，基于度量的决策树的性能优于传统的决策树。
The choice of attribute selection metric to split has an important impact on the shape and the depth of the resulting decision tree.
在根据入侵规则构造决策树时，所依据的分类属性选择标准对决策树的形状和深度有很大的影响。
Experimental results show that the choice for trend forecasting models can be correctly finished by using GP-decision tree algorithm.
实验结果表明，应用GP决策树算法能够正确完成对趋势预测模型的选择。
The style sheet compiler therefore constructs a decision tree which is used at run time to decide which template rule to apply to a given node.
因此样式表编译器构造了决策树，在运行时用它来决定将哪个模板规则应用于给定节点。
When complex, embedded software is involved, this leads to a many-to-many decision tree with thousands — perhaps millions — of possible allocations.
当涉及到复杂的、嵌入式软件时，就会导致一个上千——或许上百万种可能分配的多对多决策树。
In the process of constructing a decision tree, the criteria of selecting partitional attributes will influence the efficiency of classification.
在构造决策树的过程中，分离属性选择的标准直接影响分类的效果。
In the process of constructing a decision tree, the criteria of selecting partitional attributes will influence the efficiency of classification.
在构造决策树的过程中，分离属性选择的标准直接影响分类的效果。
应用推荐