Pengfei Sun

One Bayesian Network Construction Algorithm Based On Dimensionality Reduction

2016 · Advances in computer science research

Bayesian network is a common probabilistic graphical model. It often can achieve good result in expression of uncertainty for knowledge and regular as well as in data classification. Since Bayesian network construction is a relatively …

Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate

2023 · arXiv (Cornell University)

Recurrent Neural Networks (RNNs) are widely recognized for their proficiency in modeling temporal dependencies, making them highly prevalent in sequential data processing applications. Nevertheless, vanilla RNNs are confronted with the well-known issue of gradient vanishing …