CLASSIFICATION ACCURACY - MACHINE LEARNING VS EXPLICIT KNOWLEDGE ACQUISITION

被引：0
|
作者：
BENDAVID, A
MANDEL, J
机构：
来源：
MACHINE LEARNING | 1995年 / 18卷 / 01期
关键词：
EXPERT SYSTEMS; MACHINE LEARNING; EXPLICIT VS IMPLICIT KNOWLEDGE ACQUISITION; CLASSIFICATION ACCURACY;
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：
This empirical study provides evidence that machine learning models can provide better classification accuracy than explicit knowledge acquisition techniques. The findings suggest that the main contribution of machine learning to expert systems is not just cost reduction, but rather the provision of tools for the development of better expert systems.
引用
收藏
页码：109 / 114
页数：6
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