Ontology-Based Neuro-Symbolic AI: Effects on Prediction Quality and Explainability
Artificial intelligence (AI) systems, based on neural networks are becoming ubiquitous. However, in many cases, their application is constrained by the lack of interpretability. One of the ways of overcoming this limitation is neuro-symbolic approaches, where the neural network is complemented by so...
| Главные авторы: | , , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
IEEE
2024-01-01
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| Серии: | IEEE Access |
| Предметы: | |
| Online-ссылка: | https://ieeexplore.ieee.org/document/10731866/ |