Classification Accuracy: Machine Learning vs. Explicit Knowledge Acquisition

作者: Arie Ben-David , Janice Mandel

DOI: 10.1023/A:1022826724635

关键词: Expert systemComputer scienceMachine learningEmpirical researchLegal expert systemCost reductionExplicit knowledgeArtificial intelligence

摘要: This empirical study provides evidence that machine learning models can provide better classification accuracy than explicit knowledge acquisition techniques. The findings suggest the main contribution of to expert systems is not just cost reduction, but rather provision tools for development systems.

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