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Nov, 2015
可解释的二级布尔规则学习用于分类
Interpretable Two-level Boolean Rule Learning for Classification
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Guolong Su, Dennis Wei, Kush R. Varshney, Dmitry M. Malioutov
TL;DR
本文提出以布尔规则为基础的分类方法,并通过基于整数规划和Hamming距离的算法,寻求简单分类规则和分类准确性之间的平衡,实现优于一级规则的分类效果。
Abstract
This paper proposes algorithms for learning two-level
boolean rules
in Conjunctive Normal Form (CNF, i.e. AND-of-ORs) or Disjunctive Normal Form (DNF, i.e. OR-of-ANDs) as a type of human-interpretable
classification
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