White-box Induction From SVM Models: Explainable AI with Logic Programming

9 Aug 2020Farhad ShakerinGopal Gupta

We focus on the problem of inducing logic programs that explain models learned by the support vector machine (SVM) algorithm. The top-down sequential covering inductive logic programming (ILP) algorithms (e.g., FOIL) apply hill-climbing search using heuristics from information theory... (read more)

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