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- Bayesian Decision Tree 贝叶斯决策树
- 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。
- Decision tree is a useful method of classification. 摘要决策树是分类的常用方法。
- Focusing on the problem that conventional decision tree(DT) model lacks of a probabilistic background,the Bayesian inference was introduced into DT,and thus a decision tree(BDT) model based on Bayesian inference was proposed. 针对决策树(DT)模型缺乏概率背景这一问题;将贝叶斯推理引入DT模型;提出了一种基于贝叶斯推理的决策树(BDT)模型.
- 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 welfare implications and economic value of the ENSO forecasts are evaluated based on a straightforward application of the Bayesian decision theory. 本研究首先利用最小平方法及历史资料探讨不同圣婴现象对稻米产量的影响,发现反圣婴造成的影响较圣婴年为大。
- 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。
- 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。
- Bayesian Decision Theory and Inductive Logic 贝叶斯决策理论与归纳逻辑
- Bayesian decision analysis methods 贝叶斯决策分析
- 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。
- 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。
- 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。
- 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。
- The Rationality and Its Relativity in Bayesian Decision Theory 贝叶斯决策理论的理性观及其相对性