Constructing Gaussian Processes for Probabilistic Graphical Models.
Mattis HartwigMarisa MohrRalf MöllerPublished in: FLAIRS Conference (2020)
Keyphrases
- gaussian processes
- probabilistic graphical models
- gaussian process
- graphical models
- approximate inference
- latent variables
- exact inference
- markov networks
- first order logic
- belief propagation
- probabilistic inference
- hyperparameters
- conditional random fields
- probabilistic model
- random variables
- bayesian framework
- belief networks
- maximum likelihood
- incremental learning
- pairwise
- posterior distribution
- model selection
- probability distribution