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Ruvarashe J. Madzime

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Toward Defeasible Machine Learning: When Learned Rule Sets Become Defeasible Theories

This work identifies a single structural condition on learned conjunctive rule sets, called strict global exception closure, under which every prediction the classifier makes is provably a defeasible entailment and analyses what breaks when the condition fails, revealing insights for both machine learning and nonmonoto...

Ruvarashe J. Madzime, T. Meyer · 0 citations