Approximate Inference for Multiplicative Latent Force Models.
Daniel J. TaitBruce J. WortonPublished in: CoRR (2018)
Keyphrases
- approximate inference
- graphical models
- latent variables
- parameter estimation
- variational methods
- dynamic bayesian networks
- structured prediction
- belief propagation
- probabilistic model
- linear gaussian
- factor graphs
- probabilistic inference
- message passing
- bayesian framework
- prior knowledge
- bayesian networks
- stereo matching
- bayesian inference
- graph cuts
- maximum likelihood
- markov chain monte carlo
- co occurrence
- exact inference
- machine learning