NeuroRule: Making Black-Box Neural Networks Explainable through Rule-set Evolution
The NeuroRule knowledge distillation framework that results in explainable rule-sets from neural network models is established, establishing that black-box neural network models can be made explainable and therefore useful in real-world applications where trustworthiness is paramount.
Tapaswini Kodavanti, Hormoz Shahrzad, Risto Miikkulainen
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