On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models.
Boyao LiAlexandar J. ThomsonMatthew M. EngelhardDavid PagePublished in: CoRR (2023)
Keyphrases
- probabilistic graphical models
- neural network
- graphical models
- first order logic
- markov networks
- soft computing
- pattern recognition
- belief propagation
- probabilistic inference
- exact inference
- artificial neural networks
- conditional random fields
- parameter learning
- approximate inference
- random variables
- latent variables
- back propagation
- fuzzy measures
- prior information
- index structure
- fuzzy logic
- probabilistic model
- bayesian networks
- multilayer perceptron
- hidden variables
- structure learning
- artificial intelligence
- genetic algorithm
- machine learning