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- Some algorithms of Decision tree learning, especially C4.5, are applied to case retrieval, case revisal and case base maintenance. 决策树学习算法;主要是C4.;5在范例检索、CBR修正、CBR维护中的应用。
- Chinese Name Identification Integrated Decision Tree Learning 结合决策树方法的中文姓名识别
- decision tree learning 决策树学习
- Decision tree is a useful method of classification. 摘要决策树是分类的常用方法。
- 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。
- Fourthly. making use of Learning from examples based on information theory, machine learning algorithm and machine learning decision tree is realized. 第四,采用基于信息论的示例学习,实现了机器学习算法并建立了机器学习决策树。
- The rank learning algorithm based on the decision tree is able to process categorical data and select relative features. 基于决策树的排序学习算法,可以处理名词性数据和选择相关的特征。
- Wedo not use a pre-defined decision tree to classify the environment in the ND method.Also,we do not solve the reward function in the imitation learning method. 我们并不使用事先定义好的决策树来分类环境,也不试图将奖励函数解出,我们将试著找到环境资讯与人类控制行为的对应关系。
- Fourthly, making use of Learning from examples based on information theory, machine learning algorithm is improved and machine learning decision tree is realized. 第四,采用基于信息论的示例学习,改进了决策树学习算法,并建立了机器学习决策树;
- Decision trees can be used for prediction. 决策树可用于进行预测。
- Quinlan, J.R. Induction of Decision Trees, Machine Learning, 1:81-106, 1986. 胡守仁;余少波;戴葵;(1993).;神经网络导论
- 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。
- 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。
- The algorithm of decision trees is well known due to simpleness and easy to realize in machine learning. 在各种机器学习算法中,决策树以其简单容易实现等特点被认可。
- Its accuracy and comprehensibility depend on how concisely the learning algorithm can summarize this structure.The non-predictive parts of a decision tree should be eliminated or pruned. 它潜在的预测能力以及它的可理解性的大小,很大程度上取决于学习算法是否能够简洁地概括了这个结构。
- 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。
- 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。