为你自己做一个决策树（图表）。
决策树解决方法的复杂度是多少？
图2——代理服务器遍历决策树。
在此，我较为随意地使用术语决策树。
本文总结了有代表性的决策树算法。
图1给出了基本的决策树。
本文把决策树应用到轨道故障的检测中。
The decision tree was applied in the rail deformation detection in this paper.
您应该使用规则集或决策树来定义一组规则吗？
Should you use a rule set or a decision tree to define a group of rules?
监督学习是训练神经网络和决策树的最常见技术。
Supervised learning is the most common technique for training neural networks and decision trees.
文中使用一个全局准则函数控制决策树的增长。
A global criterion function is used to control the growth of the decision tree.
决策树学习是应用最广泛的归纳推理算法之一。
Decision tree learning is one of the widely used and practical methods for inductive inference.
决策树以图形方式描述导致某项操作的相关条件链。
Decision trees graphically depict chains of dependent conditions leading to an action.
决策问题中所含的方案数量在决策树中是隐性的。
The number of the alternatives of the decision tree is implicit.
现在，这个决策树，如果我走左边的分支，这是一棵二叉树。
Now, the decision tree, if I branch left, it's a binary tree.
提出了一种避免了多值偏向问题的决策树算法——AF算法；
Second, this paper proposes a new decision tree algorithm, AF algorithm, which avoids multivalue bios.
决策树提供了序列if - then规则集的另一种表示形式。
Decision trees provide an alternative representation of sequential if-then rule sets.
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。
The attributes of this person can be used against the decision tree to determine the likelihood of him purchasing the M5.
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.
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。
The third step in the decision tree asks if the package is extensible as opposed to customizable.
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)。
The decision tree (or rules) used for rail deformation detection was generated by learning the train data.
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.
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。
Experimental results show that the choice for trend forecasting models can be correctly finished by using GP-decision tree algorithm.
规则可以在“ifthen”结构、决策表或决策树中描述决定性的决策。
Deterministic decisions where rules can be described in "if then" constructs, decision tables or decision trees.
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 an efficient algorithm for constructing decision tree and then mapping it to neural net.
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。
Comparing with Decision Tree algorithms, this system chooses the C4.5 to realize the self-learning module.
然后我们如下建立我们的决策树：，每一个节点，好的，让我们在这里举一个例子。
And then we'll construct our tree as follows: each node, well, let me put an example here.
这种学习可以使用神经网络或者支持向量机，不过用决策树也可以实现类似的功能。
This sort of learning could take place with neural networks or support vector machines, but another approach is to use decision trees.
至今已经提出了决策树的很多算法，通过分析已知的分类信息得到一个预测模型。
So far, there are many algorithms have been given and we can gain a prediction model by analyzed known catalog information.
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。
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。
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.
应用推荐