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- graph as decision tree 作为决策树的图
- Draw this graph as a straight graph with its regions in evidence. 试把这图画成一个直图使其区域明显化。
- We will refer to the plane of the graph as the x-y plane. 我们将把图的平面作为x-y平面。
- Decision tree is a useful method of classification. 摘要决策树是分类的常用方法。
- It is customary to represent a graph as a picture drawn in the plane. 图通常用平面上的一个图形来表示。
- The paper particularly describes the method of diagnose uroflowmetry graph based on the self-adapted template with the form of decision tree. 尿流率检查对下尿路排尿障碍等疾病的诊断具有重要的参考价值,其可以客观的反映下尿路排尿功能的一般水平。
- Now there are many methods that has been applied to this field, such as SVM, KNN, Naive Bayes, Decision Tree, etc. 目前已经有许多方法应用到该领域。 如支持向量机方法(SVM)、K近邻方法(KNN)、朴素贝叶斯方法(Naive Bayes)、决策树方法(Decision Tree)等等。
- A decision tree is a graphic model of a decision process. 决策树是描述决策过程的一种图形。
- The traditional decision tree category methods(such as:ID3,C4.5) are effective on small data sets. 传统的决策树分类方法(如ID3和C4.;5)对于相对小的数据集是很有效的。
- This paper regards decision tree as basic classifier, and introduces the least square technology for linear fusion. 以决策树作为基本分类器,引入最小二乘技术进行多分类器线性融合。
- Choosing the unique labeled graph as the object, two new algorithms, Ma-tricon and SFP, are proposed. 论文首先选择唯一标号图作为研究的突破口,先后提出了Matricon和SFP算法。
- The traditional decision tree category methods (such as: ID3, C4.5) are effective on small data sets. 摘要传统的决策树分类方法(如ID3和C4.;5)对于相对小的数据集是很有效的。
- The calculation of the decision tree uses the C4.5 algorithm, which takes information gain ratio as attribute choice criterion. 决策树算法采用C4.;5算法,它把信息增益率作为属性选择的度量标准。
- This algorithm takes the longest path in the task-resource assignment graph as an antigen and every task-resource assignment as a corresponding antibody. 该算法将任务-资源分配图的最长路径作为抗原,每一个任务-资源分配图对应一个抗体。
- The result shows some deficiencies,such as decision imbalance,and the possibility of mistake unapparent. 结果认为,在该流程中存在排错效果不显著和决策取向不平衡性等缺陷。
- Decision trees can be used for prediction. 决策树可用于进行预测。
- In the Grid pane, click Source and then select TM Decision Tree mining model. 在“网格”窗格中,单击“源”,然后选择“TM Decision Tree挖掘模型”。
- Click Select Model, expand Targeted Mailing, and then choose TM Decision Tree. 单击“选择模型”,展开“目标邮件”,再选择TM Decision Tree。
- This viewer contains two tabs, Decision Tree and Dependency Network. 此查看器包含两个选项卡,即“决策树”和“相关性网络”。
- Evolutionary decision tree method has the advantage of global search. 演化决策树方法将传统的决策树算法与演化算法相结合,具有全局搜索的优点。