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  • 1
    Electronic Resource
    Electronic Resource
    Classification accuracy: Machine learning vs. explicit knowledge acquisition (1995)
    Springer
    Machine learning 18 (1995), S. 109-114 
    Details
    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/10.1007/BF00993823
    Location Call Number Expected Availability
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Classification Accuracy: Machine Learning vs. Explicit Knowledge Acquisition (1995)
    Springer
    Machine learning 18 (1995), S. 109-114 
    Details
    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
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    Paper (German National Licenses)
    Fulltext
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