Approximating Bayesian inference with a sparse distributed memory system.
Joshua T. AbbottJessica B. HamrickThomas L. GriffithsPublished in: CogSci (2013)
Keyphrases
- bayesian inference
- distributed memory
- shared memory
- ibm sp
- probabilistic model
- parallel implementation
- multiprocessor systems
- scientific computing
- prior information
- hyperparameters
- parallel computers
- variational inference
- matrix multiplication
- bayesian model
- data parallelism
- parallel architecture
- statistical inference
- parallel processing
- parallel machines
- parallel computing
- variational bayes
- image segmentation
- message passing
- expectation propagation
- computer architecture
- hierarchical bayesian
- gibbs sampler
- parallel algorithm
- particle filter
- search space
- pairwise