CN2-R: Faster CN2 with Randomly Generated Complexes

被引：0
|
作者：
Zuters, Janis [1 ]
机构：
[1] Univ Latvia, Fac Comp, LV-1586 Riga, Latvia
来源：
2011 16TH INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS | 2011年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Among the rule induction algorithms, the classic CN2 is still one of the most popular ones; a great amount of enhancements and improvements to it is to witness this. Despite the growing computing capacities since the algorithm was proposed, one of the main issues is resource demand. The proposed modification, CN2-R, substitutes the star concept of the original algorithm with a technique of randomly generated complexes in order to substantially improve on running times without significant loss in accuracy.
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页码：306 / 309
页数：4
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