Faithful approaches to rule learning
Rule learning involves developing machine learning models that can be applied to a set of logical facts to predict additional facts, as well as providing methods for extracting from the learned model a set of logical rules that explain symbolically the model’s predictions. Existing such approaches,...
| Автори: | , , |
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| Формат: | Conference item |
| Мова: | English |
| Опубліковано: |
IJCAI Organization
2022
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