Active Inference and Epistemic Value in Graphical Models.
Thijs van de LaarMagnus T. KoudahlBart van ErpBert de VriesPublished in: Frontiers Robotics AI (2022)
Keyphrases
- graphical models
- probabilistic inference
- exact inference
- map inference
- belief networks
- belief propagation
- factor graphs
- bayesian networks
- undirected graphical models
- efficient inference algorithms
- approximate inference
- loopy belief propagation
- probabilistic model
- random variables
- probabilistic graphical models
- directed graphical models
- nonparametric belief propagation
- statistical inference
- conditional random fields
- probabilistic networks
- markov networks
- structure learning
- probabilistic reasoning
- possibilistic networks
- markov logic networks
- statistical relational learning
- relational dependency networks
- conditional independence
- collective classification
- graphical structure
- marginal probabilities
- latent variables
- message passing
- dynamic bayesian networks
- graph structure
- inference process
- structural learning
- bayesian inference
- parameter learning
- structured prediction
- belief change
- free energy
- chain graphs
- higher order
- pairwise
- search algorithm