一种用于标志性环境的树系统推理算法

[Proceedings] 1988 IEEE Workshop on Visual Languages Pub Date : 1988-10-10 DOI:10.1109/WVL.1988.18011

A. Guercio, Shi-Kuo Chang

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引用次数: 2

摘要

提出了一种利用树系统推理技术的树学习算法。该算法观察子树和嵌入树结构之间的相似性，并影响语法扩展，从而扩大输入样本集。本文描述了SIL-ICON Compiler v.3中一组图标的应用程序。该算法为编译器增加了学习能力，因此图标字典和语法是增量扩展的。

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A tree systems inference algorithm for an iconic environment

A tree learning algorithm that uses tree systems inference techniques is presented. The algorithm observes similarity between subtrees and embedding tree structures and affects grammatical expansions that enlarge the input sample set. An application to a set of icons from the SIL-ICON Compiler v.3 is described. The algorithm adds learning capabilities to the compiler so the icon dictionary and the grammar are incrementally expanded.<>

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[Proceedings] 1988 IEEE Workshop on Visual Languages

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