模式识别中分类树方法可用于提高模式分类的速度。
Classification trees are often used in pattern recognition to speed up the classification.
介绍了一种基于形式规格说明和分类树方法生成软件测试用例的方法。
An approach for generating test cases from formal specification and the classification-tree method is presented.
由软件的形式规格说明构造分类树，再把由分类树方法得到的测试用例转化为析取范式，进一步精炼测试用例。
Firstly, a classification-tree is constructed based on specification of the test object, and then test cases obtained from the classification-tree are refined by generating a disjunctive normal form.
本系列后续的文章将会涉及挖掘数据的其他方法，包括群集、最近的邻居以及分类树。
Future articles will touch upon other methods of mining data, including clustering, Nearest Neighbor, and classification trees.
传统的乐器识别方法采用的是树型分类方法，这种方法分类过程比较繁琐，而且精度不高。
The traditional instrument recognition method adopts binary-tree classifying method. The process of this method is trivial and inaccurate.
经实验证明，用该方法构造的决策树与传统的基于信息熵方法构造的决策树相比较，复杂性低，且能有效提高分类效果。
The experiments show that, compared with the entropy-based method, our method is simpler in the structure, and can improve the efficiency of classification.
在财务因素分析上，采用基于归纳推理方法的决策树方法，分析了财务因素对贷款风险分类的影响。
When analyze financial factor, decision tree method on the basis of inductive reasoning means is adopted to analyze the infection of financial factor to loan risk classification.
讨论了分类回归树方法，并介绍了它在开发高校科研决策支持系统中的应用。
Discusses the classification and regression trees method, introduces its application in developing universities 'science research decision support system.
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。
This paper proposes a text classification method based on Cloud Theory and neural network structure decision tree.
针对如何有效直观地表示顾客特征问题，讨论用分类树分析有效满意顾客特征的方法，并应用于实例分析。
The method of analyzing the characteristics of satisfied customers through classified tree is discussed in this paper and is applied to a real example.
本文提出一种求符号网络函数的分类生成树组方法。
This paper presents a new method of generating tree-team classification for producing symbol network functions.
提出了基于分类树和模糊匹配的工艺知识资源检索方法。
PK searching method based on classification tree and illegibility matching are developed.
提出了一种融合无监督和监督两种学习策略生成多分类决策树的方法。
In this paper, a new method which combines unsupervised and supervised learning strategy is put forward to construct the multi classification decision tree.
因此提出了基于混合特征和分类树的细微表情识别方法。
A method of subtle expression recognition based on hybrid features and classifier tree is presented in this paper.
方法：以决策树分类器为工具，用分类正确率衡量辨证一致性。
Methods: the decision tree classifier is used as a tool and the rate of classification accuracy is used to measure the consistency.
决策树是分类数据挖掘的重要方法。
Decision tree is one of the important Categorising Data Mining methods.
所研究的豹蛛属的4个种在两种构树方法（NJ法和MP法）下所获得的分子系统树中均优先聚在一起，是较进化的类群。 与传统形态分类结果一致。
The 4 examined species of Pardosa was grouped together between two methods of phylogenetic analysis(NJ and MP), which is the most evolutive group, as same as recent taxonomy.
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。
The decision tree is a frequently-used classification method in data mining, it is easy to understand and large in scope to apply.
本文讨论了树分类器与产生式规则相结合的方法在岩性分类中的应用。
In this paper an application of the way of combining the dendritic classifier with specialist qualitation productive in lithology classification.
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。
Compared with artificial classification, nerve network, and decision tree, its test error is low and the speed is high.
目的：介绍树结构法的基本原理与方法，并用分类树法对医学研究中的实例进行分析。
Objective:To introduce the basic principle of tree-structured methods, and then use classification trees to analyze a real example in medical research.
把决策树分类器引入包过滤技术当中，改变了传统的顺序检索包过滤的方法。
Introducing the decision tree classifiers into packet filtering technology, it changes the conventional method searching the packet orderly.
摘要：决策树是数据挖掘任务中分类的常用方法。
Absrtact: The decision tree is a usual method of classification in data mining.
基于云模型的分类算法多采用云变换和泛概念树方法，存在分类结果与先验知识不一致的问题。
The classification based on cloud model always USES cloud transform and Pan-Concept-Tree, it brings on inconsistency between the result and prior knowledge.
现有的分类预测的方法有许多种，常见的有决策树算法(C4.5)、贝叶斯分类算法、BP算法与支持向量机等。
There are many classification methods to forecast such as decision tree algorithm (C4.5), Bayes algorithm, BP algorithm and SVM.
其次，在解决工艺参数优化的问题中，本文提出了一种正演的方法，即结合使用决策树分类器以及人工神经网络进行综合分析的方法来完成。
Secondly, in solving the problem that the craft parameter is optimized, this paper has put forward a method to perform, which using decision tree and ANN carry on comprehensive.
基于波峰、波谷的支配与从属关系，对具有自嵌套结构的波形提出了一种特征层次树描述方法，并建立了相应的波形分类系统。
An approach to the hierarchical representation of self-embedded waveform by a feature tree based on peak dominance relations is proposed and a waveform parsing system is described.
决策树是归纳学习和数据挖掘的重要方法，通常用来形成分类器和预测模型。
Decision tree is an important method in induction learning as well as in data mining, which can be used to form classification and predictive model.
决策树是归纳学习和数据挖掘的重要方法，通常用来形成分类器和预测模型。
Decision tree is an important method in induction learning as well as in data mining, which can be used to form classification and predictive model.
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