Noise benefits in the expectation-maximization algorithm: Nem theorems and models

Author:

Osoba Osonde,Mitaim Sanya,Kosko Bart

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Noise Benefits in Complex-Valued Neural Networks;2023 8th International Conference on Image, Vision and Computing (ICIVC);2023-07-27

2. Noise can speed backpropagation learning and deep bidirectional pretraining;Neural Networks;2020-09

3. Probabilistic and Bayesian Networks;Neural Networks and Statistical Learning;2019

4. Noise-enhanced convolutional neural networks;Neural Networks;2016-06

5. The Noisy Expectation-Maximization Algorithm for Multiplicative Noise Injection;Fluctuation and Noise Letters;2016-03

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