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- sequential decision tree 顺序判定树
- 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。
- A multistage influence diagram to model pilot sequential decision making in one verse one air combat. is applied. 摘要首次将多级影响图分析方法引入到连续空战机动决策中。
- This course covers the basic models and solution techniques for problems of sequential decision making under uncertainty( stochastic control). 这门课程涵盖了不确定情况下(机控制)续决策组合问题的基本模型与解题技巧。
- Several stochastic variables are introduced to transform the job-shop scheduling problem into sequential decision problem. 首先引入多个随机变量,将车间作业排序问题转换成序贯决策问题;
- Tasks that fall within the paradigm of reinforcement learning are control problems, games and other sequential decision making tasks. 属于增强式学习的典范的工作是控制问题、赛局理论和其他连续的决策制定工作。
- 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 trees can be used for prediction. 决策树可用于进行预测。
- 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。
- RL agents solve sequential decision problems by learning optim policies for choosing actions.Thus,at the core of RL is the definition of what it means for a policy to be “optimal”. 激励学习智能体通过最优策略的学习与规划来求解序贯决策问题,因此如何定义策略的最优判据是激励学习研究的核心问题之一。
- 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。
- 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。
- monotone sequential decision process 单调顺序判定过程
- 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。
- continuous-time sequential decision process 连续时间的序贯决策过程
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