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cs.AI2022
Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints
Jiayu Huang, Yutian Pang, Yongming Liu +1
Neural Networks (NNs) have been widely {used in supervised learning} due to their ability to model complex nonlinear patterns, often presented in high-dimensional data such as imag…
eess.SP2022
Adaptive Partially-Observed Sequential Change Detection and Isolation
Xinyu Zhao, Jiuyun Hu, Yajun Mei +1
High-dimensional data has become popular due to the easy accessibility of sensors in modern industrial applications. However, one specific challenge is that it is often not easy to…