Figure 2-proxy server traversal decision tree.
图2——代理服务器遍历决策树。
Recruit Selecting; Data Mining; Decision Tree.
招募遴选；资料探勘；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？
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。
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 third step in the decision tree asks if the package is extensible as opposed to customizable.
这个决策树中的第三步就是询问数据包是否可扩展，这和定制性刚好相反。
Decision tree learning is one of the widely used and practical methods for inductive inference.
决策树学习是应用最广泛的归纳推理算法之一。
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。
Second, this paper proposes a new decision tree algorithm, AF algorithm, which avoids multivalue bios.
提出了一种避免了多值偏向问题的决策树算法——AF算法；
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。
Decision tree simplification is a significant branch in the study of decision-tree learning algorithms.
决策树简化是决策树学习算法中的一个重要分支。
The decision tree (or rules) used for rail deformation detection was generated by learning the train data.
通过对训练数据的学习，生成用于轨道故障判决的决策树(或者规则)。
Comparing with Decision Tree algorithms, this system chooses the C4.5 to realize the self-learning module.
通过对决策树分类算法的比较，本文采用C4.5决策树算法实现自学习模块。
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。
The attributes of this person can be used against the decision tree to determine the likelihood of him purchasing the M5.
对这个决策树使用此人的这些属性就可以确定他购买M5的可能性。
Do I need to take preventive drugs?, there's another set of simple rules in the new book the Decision Tree, by Thomas Goetz.
我是否该服用预防药？在汤玛斯·戈茨的新书《决策树》中，另有一套简单规则可依循。
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。
It is difficult to use the decision tree method to find the sub-optimal solution, not to mention the alternative ranking.
利用传统的决策树方法，无法确定一个次优方案，对所有方案进行排序也很难。
We'll discuss validation sets when we look at decision trees because they are a common optimization for decision tree learning.
当我们在后面具体提及决策树时，将会进一步讨论验证集，因为它通常是决策树学习的最优选择。
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。
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。
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。
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。
Decision tree algorithm is that the category knowledge of the training set is mined through built high precision and small-scale decision tree.
决策树算法通过构造精度高、小规模的决策树采掘训练集中的分类知识。
Decision tree algorithm is that the category knowledge of the training set is mined through built high precision and small-scale decision tree.
决策树算法通过构造精度高、小规模的决策树采掘训练集中的分类知识。
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