您要查找的是不是：
- decision tree classifi cation 决策树分类
- Decision tree is a useful method of classification. 摘要决策树是分类的常用方法。
- The two me thods were also applied to Kenli County, but the result of unsupervised classifi cation is better than that of supervised classification. 垦利县由于地处滨海盐渍土地区，光谱差异性小，因而非监督分类的结果优于监督分类的结果。
- 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。
- Swarm Intelligence - Based Selective Ensemble with Decision Trees Classifiers 基于群体智能的选择性决策树分类器集成
- decision tree classify 决策树分类
- decision tree classifier 树形判定分类符
- 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。
- Decision trees can be used for prediction. 决策树可用于进行预测。
- More-reliable serum markers, better tumour localisation and identifi cation of small lesions, and histological grading systems and classifi cations with prognostic application are needed. 需要更可靠的血清学指标、肿瘤定位、早期病变的诊断、组织学分期体系以及根据预后进行的分类。
- 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。
- 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。
- For example, in a decision tree mining model the viewer will use Cyan to display continuous attributes. 例如,在树挖掘模型中,查看器将使用青色来显示连续属性。
- On the Decision Tree tab, you can examine all the tree models that make up a mining model. 在“决策树”选项卡上,可以检查构成挖掘模型的所有树模型。
- When you build a decision tree model, Analysis Services builds a separate tree for each predictable attribute. 生成决策树模型时,Analysis Services将为每个可预测属性生成一个单独的树。
- Growth Period Analysis and Mature Type Classifi cation for Guizhou Hybrid Rice Varieties in Regional Test 贵州省杂稻区试对照种生育期分析及参试组合熟期类型划分指标探讨
- 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。
- One of the best ways to analyze a decision is to use so-called decision trees. 所谓决策树是进行决策分析的最佳方法之一。
