PGM_PyLib: A Toolkit for Probabilistic Graphical Models in Python.
Jonathan Serrano-PérezLuis Enrique SucarPublished in: PGM (2020)
Keyphrases
- probabilistic graphical models
- scripting language
- graphical models
- markov networks
- first order logic
- programming language
- latent variables
- parameter learning
- random variables
- belief propagation
- exact inference
- bayesian networks
- probabilistic inference
- hidden variables
- conditional random fields
- soft computing
- belief functions
- fuzzy measures
- document classification
- artificial neural networks
- probabilistic model
- structure learning
- text mining
- maximum likelihood
- distributed systems
- generative model