decision tree的例句大全

And it introduces some algorithms of decision tree learning such as ID3, C4.5 and feature subset selection of Inductive Learning.

介绍了归纳学习中的决策树学习算法如ID3、C4.5和特征子集选择问题。

Research on the application of decision tree in desertification classification

决策树方法在土地荒漠化分类中的应用研究

Finally, according to the knowledge of traditional Chinese medicine, this dissertation designed a decision tree, and proposing a classification algorithm to classify the tongue substance and tongue coating color of tongue image with the 12-dimension feature vector of color ratio.

最后，本文根据中医理论，设计了一个决策树结构，利用12维的颜色比例特征向量，提出了对舌图像舌色苔色进行分类的算法。

Research of SVMs Multi-Category Classification in Decision Tree

树形结构SVMs多类分类的研究

Results The precision of the Bayes and neural network algorithms is better than the decision tree algorithm.

结果贝叶斯分类算法和神经网络算法的分类准确率高过决策树算法。

The R& D investment projects have been proposed for several years. Now, the project value assessment method include: Discounted cash flow method 、 Decision tree 、 Obtain from the right camera analysis 、 and real options.

R&D投资项目价值的研究已经被广泛提出，目前的价值评估方法主要有：贴现现金流方法、决策树方法、相机索取权分析法、和实物期权分析方法。

Decision tree and neural network of the spleen yang deficiency syndrome factors play a key role.4.The symptoms distribution.

决策树和神经网络在脾阳虚证候要素探讨中起了关键作用。4.症状分布。

ranking algorithm based on decision tree

基于决策树的排序学习算法

optimizing decision tree-based protocol decoding with extended backus-naur form

用扩展巴科斯范式优化决策树协议解码技术

chinese pronominal coreference resolution based on decision tree

基于决策树的汉语代词共指消解

using the methods of bayes and decision tree, this paper introduced the application method and relational decision rules of bayes in real investment risk decision-making by a case.

文中将决策树方法与贝叶斯概率分析相结合，结合实例提出了贝叶斯方法在房地产投资风险决策的应用方法和相关决策规则的选择思路。

finally, an algorithm used to generate the diagnosis decision tree was given.

最后，给出生成诊断决策树的算法。

in the custom credit analysis, decision tree is always used to separate the custom because of the large amount of nominal variables.

在银行客户信贷信用评估分析中，由于数据中的大量名义变量，决策树经常被用来进行数据分类。

adaptive algorithm for class incremental induction of decision tree

适应类别增量的决策树训练算法

decision tree learning for habitat landscape classification

决策树学习方法应用于生境景观分类

Decision tree, neural networks and Bayesian networks are the main tools of KDD.

决策树 、 神经网络、Bayesian网络等是当前知识发现的重要工具.

Experiments result proves that decision tree classifier is a effective classify method.

实验结果表明决策树分类器确实是一种有效的分类技术.

Two methods for text categorization fuzzy rule extraction are presented based on fuzzy decision tree.

本文提出了两种基于模糊决策树的模糊文本分类规则抽取方法.

In the end, decision tree classification experiments results and contrastive precision accuracy are obtained.

最后进行了分步决策树分类实验和与传统分类方法的精度对比分析.

C 4.5 decision tree classifier, using the C language. U.S. with reference.

决策树C4.5分类器, 用C语言写的. 大家一起参考一下.