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...

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書目詳細資料
Main Authors: Alexander Smirnov, Andrew Ponomarev, Anton Agafonov
格式: Article
語言:English
出版: IEEE 2024-01-01
叢編:IEEE Access
主題:
在線閱讀:https://ieeexplore.ieee.org/document/10731866/