This paper proposes a new method for recognizing Chinese time expression based on the heuristic error-driven learning.

本文提出了一种基于启发式错误驱动学习的中文时间表达式识别的新方法。

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Presents a new method to deal with higher-order process, called hierarchical fuzzy sliding mode control with error-driven adjustment parameters.

针对工业现场普遍存在的高阶对象，提出了一种基于误差驱动参数自整定递阶结构的模糊滑模控制策略。

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The paper presents a method of Chinese chunk recognition based on Support Vector Machines (SVM) and transformation-based error-driven learning.

本文研究了一种支持向量机(SVM)和基于转换的错误驱动学习相结合的汉语组块识别方法。

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The paper presents a method of Chinese chunk recognition based on Support Vector Machines (SVM) and transformation-based error-driven learning.

本文研究了一种支持向量机(SVM)和基于转换的错误驱动学习相结合的汉语组块识别方法。

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