High-Dimensional Inference for Cluster-Based Graphical Models.
Carson EisenachFlorentina BuneaYang NingClaudiu DinicuPublished in: CoRR (2018)
Keyphrases
- graphical models
- high dimensional
- probabilistic inference
- exact inference
- map inference
- belief networks
- undirected graphical models
- factor graphs
- belief propagation
- bayesian networks
- loopy belief propagation
- approximate inference
- efficient inference algorithms
- probabilistic model
- probabilistic graphical models
- statistical inference
- random variables
- nonparametric belief propagation
- directed graphical models
- conditional random fields
- structure learning
- statistical relational learning
- possibilistic networks
- conditional independence
- markov networks
- probabilistic networks
- relational dependency networks
- message passing
- collective classification
- probabilistic reasoning
- markov logic networks
- structured prediction
- bayesian inference
- feature space
- marginal probabilities
- parameter learning
- latent variables
- generative model
- pairwise