Recurrent Neural Networks and Universal Approximation of Bayesian Filters.
Adrian N. BishopEdwin V. BonillaPublished in: AISTATS (2023)
Keyphrases
- recurrent neural networks
- neural network
- marginal likelihood
- complex valued
- feed forward
- reservoir computing
- recurrent networks
- artificial neural networks
- nonlinear dynamic systems
- neural model
- monte carlo sampling
- echo state networks
- long short term memory
- feedforward neural networks
- bayesian networks
- cascade correlation
- bayesian learning
- gaussian processes
- bayesian inference
- neural models
- machine learning
- data mining
- decision theory
- model selection
- maximum likelihood
- support vector
- learning algorithm
- real time