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Eclectic Rule-Extraction from Support Vector Machines

Computational Intelligence, (2006)

被引用82|浏览8
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Support vector machines (SVMs) have shown superior performance compared to other machine learning techniques, especially in classification problems. Yet one limitation of SVMs is the lack of an explanation capability which is crucial in some applications, e.g. in the medical and security domains. In this paper, a novel approach for eclect...更多

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