Multi-Source Neural Variational Inference.
Richard KurleStephan GünnemannPatrick van der SmagtPublished in: AAAI (2019)
Keyphrases
- multi source
- variational inference
- bayesian inference
- data fusion
- topic models
- probabilistic graphical models
- probabilistic model
- gaussian process
- posterior distribution
- information fusion
- latent dirichlet allocation
- mixture model
- variational methods
- closed form
- exponential family
- multiple sources
- data integration
- approximate inference
- neural network
- exact inference
- data sources
- factor graphs
- graphical models
- belief propagation
- generative model
- active learning
- density estimation
- community detection
- latent variables
- information integration
- probabilistic inference
- fuzzy logic
- bayesian networks