Active Inference and Epistemic Value in Graphical Models.
Thijs van de LaarMagnus T. KoudahlBart van ErpBert de VriesPublished in: CoRR (2021)
Keyphrases
- graphical models
- probabilistic inference
- exact inference
- map inference
- belief networks
- belief propagation
- bayesian networks
- factor graphs
- loopy belief propagation
- approximate inference
- probabilistic model
- undirected graphical models
- efficient inference algorithms
- random variables
- nonparametric belief propagation
- statistical inference
- collective classification
- probabilistic graphical models
- directed graphical models
- structure learning
- markov networks
- conditional random fields
- markov logic networks
- statistical relational learning
- probabilistic networks
- graph structure
- bayesian inference
- possibilistic networks
- relational dependency networks
- structured prediction
- conditional independence
- graphical structure
- probabilistic reasoning
- dynamic bayesian networks
- junction tree
- inference process
- variational methods
- marginal probabilities
- belief change
- chain graphs
- random fields
- expectation maximization