Parallel Importance Sampling in Conditional Linear Gaussian Networks.
Antonio SalmerónDarío Ramos-LópezHanen BorchaniAna M. MartínezAndrés R. MasegosaAntonio FernándezHelge LangsethAnders L. MadsenThomas D. NielsenPublished in: CAEPIA (2015)
Keyphrases
- importance sampling
- linear gaussian
- approximate inference
- monte carlo
- graphical models
- markov chain
- probabilistic inference
- belief propagation
- kalman filter
- particle filter
- parameter estimation
- bayesian networks
- particle filtering
- message passing
- markov chain monte carlo
- gaussian process
- discrete variables
- continuous variables
- latent variables
- conditional random fields
- conditional probabilities
- simultaneous localization and mapping