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,...
| Autores principales: | , , |
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| Formato: | Conference item |
| Lenguaje: | English |
| Publicado: |
IJCAI Organization
2022
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