Results show that the decision tree classifier can achieve higher classification accuracy.
统计结果表明，决策树分类可以获得更高的分类精度。
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。
An MSS spectral form correlation model and a histogram decision tree classifier are presented.
本文提出MSS数据波谱形态相关模型和直方图决策树分类法。
A binary tree classifier based on multivariate step-wise regression was designed and implemented.
作者设计并实现了一个基于多变元逐步回归的二叉树分类器。
Methods: the decision tree classifier is used as a tool and the rate of classification accuracy is used to measure the consistency.
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。
A variant of TAN using rough sets theory is presented, and their tree classifier structures, which can be thought of as a selective restricted trees Bayesian classifier, are compared.
基于基本粗糙集合理论中属性不精确或部分依赖关系的定义，提出了一种新的选择性受限树型贝叶斯网络分类器。
A decision tree classifier was applied and a scalar product protocol was added, so that the need of privacy preserving is satisfied as well as the advantage of decision tree is retained.
在传统的决策树算法中引入标量积协议，既保持决策树算法本身的优点，又满足了保持隐私的需求。
The other way to see the tree is to look higher in the Classifier output, where the text output shows the entire tree, with nodes and leaves.
看到这个树的另一种方式是在Classifier Output内往高处看，其中的文本输出显示了具有节点和叶子的整个树。
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。
So a new Bayesian model mixed tree augmented Naive Bayes classifier(MTANC) based on the rough set theory is presented.
因此，提出了一种基于粗糙集理论的混合树增广朴素贝叶斯分类模型（MTANC）。
A method of subtle expression recognition based on hybrid features and classifier tree is presented in this paper.
因此提出了基于混合特征和分类树的细微表情识别方法。
The idea of designing tree and classifier designer are proposed to control the design process of decision tree and de-sign the classifier of the node of decision tree.
提出设计树和分类器设计器的概念，分别用于决策树设计过程的控制和决策树节点中的分类器的设计。
Then, based on the continuous land surface map of tree, herbaceous and bare, the land use classification was made using expert classifier.
然后根据所生成的林地、草本和裸地的连续覆盖图，基于专家分类器进行土地利用分类。
TAN(tree augmented Nave Bayes) takes the Nave Bayes classifier and adds edges to it, it is efficient extend of Nave Bayes.
树扩展型朴素贝叶斯（TAN）分类器放松了朴素贝叶斯的属性独立性假设，是对朴素贝叶斯分类器的有效改进。
Besides, it takes advantage of the high efficiency of priori information classifier and, to a certain extent, makes uo for the deficiencies of the decision tree in error accumulation.
并利用先验信息分类器分类效率高的优点，在一定程度上弥补了决策树错误累积的缺陷。
Experimental results show that the tree structure classifier is better than cascade classifier in both detection accuracy and computational efficiency.
实验表明，本文树形结构的车辆识别方法在识别率和识别速度上优于级联分类器，具有较好的实时性和一定的鲁棒性。
A prectical tree-type classifier is formed; Imagerecognition experiment based on micro-computer, 245 sample windows (7 class ofterrains) is performed, and a correct rate, 99.18%, is acquired.
基于微机实验，在七种地物类型的245个样本窗口中鉴别，获得了高达99.18%的识别正确率。
A prectical tree-type classifier is formed; Imagerecognition experiment based on micro-computer, 245 sample windows (7 class ofterrains) is performed, and a correct rate, 99.18%, is acquired.
基于微机实验，在七种地物类型的245个样本窗口中鉴别，获得了高达99.18%的识别正确率。
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