提出设计树和分类器设计器的概念，分别用于决策树设计过程的控制和决策树节点中的分类器的设计。

The idea of designing tree and classifier designer are proposed to control the design process of decision tree and de-sign the classifier of the node of decision tree.

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利用隐马尔克夫模型与支持向量机相结合，对站立和行走过程中的下肢表面肌电信号进行分类，用来控制多功能假肢。

Classifying myoelectric signals using hidden Markov model and support vector machine to process myoelectric signals, with the task of discrimination five classes of multifunction prosthesis movement.

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经验过程的模型是通过将观察到的输入输出进行分类，将限制其在一定范围内发生的控制进行定义得到的。

Models of empirical processes are derived categorizing observed inputs and outputs, and defining controls that cause them to occur within prescribed bounds.

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