Bayesian Inference for Structured Spike and Slab Priors.
Michael Riis AndersenOle WintherLars Kai HansenPublished in: NIPS (2014)
Keyphrases
- bayesian inference
- prior information
- prior distribution
- probabilistic model
- bayesian models
- hyperparameters
- hierarchical bayesian
- bayesian model
- variational inference
- statistical inference
- probabilistic modeling
- variational bayes
- expectation propagation
- hidden variables
- markov networks
- gibbs sampler
- steel industry
- weighted model counting
- bayesian framework
- variational approximation
- markov chain monte carlo
- probability density function
- mixture model
- particle filter
- graphical models
- higher order
- prior knowledge
- image segmentation
- machine learning