ISSN:
0885-6125
Keywords:
Expert systems
;
machine learning
;
explicit vs
;
implicit knowledge acquisition
;
classification accuracy
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
Notes:
Abstract 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.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1023/A:1022826724635
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