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。
This paper proposes the method of decision-tree SVM on two levels pyramid image, it could solve the segmentation problem of multi-classes objects on aerial image.
提出了两级金字塔影像上的决策树支持向量机方法，解决航空影像中多类地物的分割问题。
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？
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。
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。
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。
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 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。
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。
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。
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。
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。
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。
Induction learning of decision tree based on ID3 algorithm is an important branch of inductive learning now, which can be used to automatic acquisition of knowledge.
基于ID 3算法的决策树归纳学习是归纳学习的一个重要分支，可用于知识的自动获取过程。
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。
Up to now, the decision tree method is used to find the optimal solution of a Bayesian decision problem, that is, to select an optimal one from several decision alternatives.
决策树方法一直被用于贝叶斯决策问题的最优方案选择，即从若干决策方案中选择一个最优方案。
Decision tree is one of the models that are often used in classification, and it has been widely researched and applied since it was proposed in 1966.
决策树是分类中常用的模型之一，自1966年被提出以来已经得到了广泛的研究和应用。
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。
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。
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 principle and the decision steps of decision tree analysis method are introduced; at the same time the application of this method in construction bidding is illustrated.
介绍了决策树法的原理、决策步骤，举例说明了决策树法在施工投标中的应用。
Recruit Selecting; Data Mining; Decision Tree.
招募遴选；资料探勘；决策树。
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。
For a given incomplete decision table, the algorithm constructs decision tree using the improved ID3 algorithm, and fills the missing data in the process of constructing the decision tree.
对于给定的不完全决策表，该算法应用改进的ID 3算法来构造决策树，在构造决策树的过程中对遗失值进行补充。
Fuzzy decision tree is the generalization of decision tree in fuzzy environment, and the knowledge represented by fuzzy decision tree is more natural to the way of human thinking.
模糊决策树是决策树在模糊环境下的一种推广，它作为一种知识表示形式更符合人类的思维。
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。
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。
Then the decision tree and class association rules mining are used on the video attribute database to extract a decision tree classification rule set and a class association rule set respectively.
然后分别使用决策树、分类关联规则等技术对视频属性数据库进行数据挖掘，提取出决策树分类规则集和分类关联规则集；
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。
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。
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