Improving the performance of the RISE algorithm

被引：0

作者：

de Pina, AC ^{[1
]}

Zaverucha, G ^{[1
]}

机构：

[1] Fed Univ Rio De Janeiro, COPPE, PESC, Dept Syst Engn & Comp Sci, BR-21945970 Rio De Janeiro, Brazil

来源：

KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2004, PROCEEDINGS | 2004年 / 3202卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

RISE is a well-known multi-strategy learning algorithm that combines rule induction and instance-based learning. It achieves higher accuracy than some state-of-the-art learning algorithms, but for large data sets it has a very high average running time. This work presents the analysis and experimental evaluation of SUNRISE, a new multi-strategy learning algorithm based on RISE, developed to be faster than RISE with similar accuracy.

引用

页码：518 / 520

页数：3

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