Decoupling, Sparsity, Randomization, and Objective Bayesian Inference.
Julio Michael SternPublished in: Cybern. Hum. Knowing (2008)
Keyphrases
- bayesian inference
- probabilistic model
- hyperparameters
- prior information
- statistical inference
- hierarchical bayesian
- bayesian model
- privacy preserving
- variational inference
- probabilistic modeling
- markov networks
- variational bayes
- particle filter
- gibbs sampler
- weighted model counting
- hidden variables
- bayesian models
- sparse representation
- data sets
- expectation propagation
- graphical models
- high dimensional
- search algorithm
- optimal solution