Functional entropy and decision trees

V. Cheushev, V. Shmerko, D. Simovici, S. Yanushkevich
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引用次数: 25

Abstract

We introduce a technique to compute several information estimations for Boolean and multivalued functions. Special features of these estimations for completely and incompletely specified logic functions, including symmetric logic functions are investigated. Finally, we give an algorithm for determining various information measures for logical functions based on decision trees.
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函数熵与决策树
介绍了一种计算布尔函数和多值函数若干信息估计的方法。研究了完全指定和不完全指定逻辑函数(包括对称逻辑函数)的这些估计的特殊性质。最后,我们给出了一种基于决策树的逻辑函数的各种信息度量的确定算法。
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