Recurrent Neural Networks and Universal Approximation of Bayesian Filters.
Adrian N. BishopEdwin V. BonillaPublished in: CoRR (2022)
Keyphrases
- recurrent neural networks
- neural network
- recurrent networks
- feed forward
- feedforward neural networks
- complex valued
- marginal likelihood
- monte carlo sampling
- echo state networks
- reservoir computing
- cascade correlation
- long short term memory
- bayesian networks
- neural model
- edge detection
- artificial neural networks
- bayesian learning
- decision theory
- posterior distribution
- closed form
- chaotic time series