Efficient Bayesian Inference for Dynamically Changing Graphs.
Özgür SümerUmut A. AcarAlexander T. IhlerRamgopal R. MettuPublished in: NIPS (2007)
Keyphrases
- bayesian inference
- dynamically changing
- prior information
- probabilistic model
- variational bayes
- hyperparameters
- gibbs sampler
- particle filter
- statistical inference
- graph matching
- variational inference
- prior distribution
- hidden variables
- graphical models
- weighted model counting
- expectation propagation
- data sets
- probabilistic inference
- mixture model
- search algorithm
- machine learning