Multi-Source Neural Variational Inference.
Richard KurleStephan GünnemannPatrick van der SmagtPublished in: CoRR (2018)
Keyphrases
- multi source
- variational inference
- bayesian inference
- topic models
- posterior distribution
- data fusion
- probabilistic graphical models
- variational methods
- latent dirichlet allocation
- mixture model
- probabilistic model
- gaussian process
- information fusion
- closed form
- exponential family
- multiple sources
- neural network
- exact inference
- data sources
- data integration
- factor graphs
- graphical models
- approximate inference
- probability distribution
- latent variables
- prior information
- expectation maximization
- multi view
- multi attribute
- bayesian framework
- artificial neural networks
- machine learning