作者: Nirmalie Wiratunga , Susan Craw , Stewart Massie
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摘要: Knowledge maintenance for Case-Based Reasoning systems is an important knowledge engineering task despite the availability of initial case and new cases to extend it. For classification it essential that different scenarios various classes are well represented decision boundaries defined in knowledge. A complexity-based competence metric proposed identifies redundant error-causing be deleted. The informs a tool enables engineer experiment balance conflicting objectives. Complexity-informed outperforms benchmark algorithms redundancy error reduction tasks.