Inference With Aggregate Data in Probabilistic Graphical Models: An Optimal Transport Approach.
Rahul SinghIsabel HaaslerQinsheng ZhangJohan KarlssonYongxin ChenPublished in: IEEE Trans. Autom. Control. (2022)
Keyphrases
- probabilistic graphical models
- aggregate data
- markov logic
- graphical models
- exact inference
- probabilistic inference
- bayesian networks
- parameter learning
- approximate inference
- belief propagation
- markov networks
- first order logic
- dynamic programming
- random variables
- latent variables
- soft computing
- machine learning
- belief networks
- bayesian inference
- fuzzy logic
- information extraction
- probabilistic model
- dynamic bayesian networks
- hidden markov models
- training set
- decision making
- information retrieval