Make a decision tree for yourself.
为你自己做一个决策树（图表）。
Now, the decision tree, if I branch left, it's a binary tree.
现在，这个决策树，如果我走左边的分支，这是一棵二叉树。
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。
The second was classification (also known as classification tree or decision tree), which can be used to create an actual branching tree to predict the output value of an unknown data point.
第二种技术是分类（即分类树或决策树），用来创建一个实际的分支树来预测某个未知数据点的输出值。
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。
What's the complexity of this decision tree solution?
决策树解决方法的复杂度是多少？
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。
I'm using the term decision tree here loosely.
在此，我较为随意地使用术语决策树。
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。
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。
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。
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。
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？
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。
Figure 1 Outlines the basic decision tree here.
图1给出了基本的决策树。
Figure 2-proxy server traversal decision tree.
图2——代理服务器遍历决策树。
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。
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。
The way to simplify is to reduce dependencies and break them down into a choice of two, with a subsequent set of additional decisions — a decision tree, in other words.
我们可以简化这些选择。减少并打破他们之间的依赖关系，使其变成两个选择，在这两个选择后面跟着一系列附加的决定- - -也就是决策图。
Decision tree algorithms are applied to the data mining of the mammography classification, proposes a medical images classifier based on decision tree algorithm, the experiment results are given.
利用决策树算法对乳腺癌图像数据进行分类，实现了一个基于决策树算法的医学图像分类器，获得了分类的实验结果。
The number of the alternatives of the decision tree is implicit.
决策问题中所含的方案数量在决策树中是隐性的。
Experiment is the traditional method for analysing multivalue BIOS of decision tree algorithm, but it has a fault that we must have the expertise of the specific field.
实验方法是分析决策树算法中的多值偏向问题的传统方法，其缺点是需要具备该数据领域的专家知识。
A global criterion function is used to control the growth of the decision tree.
文中使用一个全局准则函数控制决策树的增长。
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)。
According to the relationship between auto correlation function and its spectral density, a new type of decision tree method based on signal analysis theory is proposed in this paper.
该文根据自相关函数与谱密度函数之间的对应关系，提出了一种新的基于自相关函数的决策树归纳学习算法。
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。
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；
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。
Multivalue BIOS may result in inducing wrong knowledge from data set, and consequently result in the decline of the performance of decision tree.
多值偏向可能导致从数据集中归纳出错误的知识，使决策树的性能下降。
Multivalue BIOS may result in inducing wrong knowledge from data set, and consequently result in the decline of the performance of decision tree.
多值偏向可能导致从数据集中归纳出错误的知识，使决策树的性能下降。
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