Extracting Rules from Neural Networks with Partial Interpretations
نویسندگان
چکیده
We investigate the problem of extracting rules, expressed in Horn logic, from neural network models. Our work is based on exact learning model, which a learner interacts with teacher (the model) via queries order to learn an abstract target concept, our case set rules. consider partial interpretations formulate queries. These can be understood as representation world where part knowledge regarding truthiness propositions unknown. employ Angluin s algorithm for rules and evaluate strategy empirically.
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ژورنال
عنوان ژورنال: Proceedings of the Northern Lights Deep Learning Workshop
سال: 2022
ISSN: ['2703-6928']
DOI: https://doi.org/10.7557/18.6301