Probabilistic Graphical Models with Neural Networks in InferPy.
Rafael CabañasJavier CózarAntonio SalmerónAndrés R. MasegosaPublished in: PGM (2020)
Keyphrases
- probabilistic graphical models
- neural network
- graphical models
- markov networks
- first order logic
- pattern recognition
- latent variables
- random variables
- probabilistic inference
- soft computing
- genetic algorithm
- parameter learning
- belief propagation
- back propagation
- approximate inference
- fuzzy logic
- conditional random fields
- probabilistic model
- multilayer perceptron
- hidden variables
- structure learning
- belief functions
- bayesian networks
- artificial neural networks
- knowledge base
- maximum margin
- artificial intelligence
- exact inference
- learning algorithm