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cs.AI2022
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance
Xiaoxiao Wang, Fanyu Meng, Xin Liu +2
Explainability plays an increasingly important role in machine learning. Furthermore, humans view the world through a causal lens and thus prefer causal explanations over associati…
cs.LG2022★ 3 cited
Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network
Gang Chen, Yu Lu, Rong Su +1
Machine learning-based methods have achieved successful applications in machinery fault diagnosis. However, the main limitation that exists for these methods is that they operate a…