A Survey of Model Learning Techniques for Recurrent Neural Networks.
Benedikt BolligMartin LeuckerDaniel NeiderPublished in: A Journey from Process Algebra via Timed Automata to Model Learning (2022)
Keyphrases
- recurrent neural networks
- computational model
- hebbian learning
- neural model
- probabilistic model
- learning process
- prior knowledge
- closed form
- artificial neural networks
- bayesian inference
- objective function
- recurrent networks
- probability distribution
- semi supervised
- supervised learning
- learning phase
- neural models
- neural network