A SAT-Based Approach to Learn Explainable Decision Sets
Lecture Notes in Artificial Intelligence, pp. 627-645, 2018.
The successes of machine learning in recent years have triggered a fast growing range of applications. In important settings, including safety critical applications and when transparency of decisions is paramount, accurate predictions do not suffice; one expects the machine learning model to also explain the predictions made, in forms und...More
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