Instance-Based Classifiers Dealing with Ambiguous Attributes and Class Labels


Machine learning usually assumes that attribute values, as well as class labels, are either known precisely or not known at all. However, in our attempt to automate evaluation of intrusion detection systems, we have encountered ambiguous examples such that, for instance, an attribute’s value in a given example is known to be a or b but definitely not c or d… (More)


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