Bayesian Inference for Large Scale Image Classification.
Jonathan HeekNal KalchbrennerPublished in: CoRR (2019)
Keyphrases
- bayesian inference
- probabilistic model
- hyperparameters
- prior information
- statistical inference
- variational inference
- gibbs sampler
- markov networks
- weighted model counting
- hierarchical bayesian
- particle filter
- variational bayes
- bayesian model
- hidden variables
- markov chain monte carlo
- probabilistic modeling
- prior distribution
- support vector
- inference process
- data sets
- expectation propagation
- expectation maximization
- state space