Comparison of Quantum and Bayesian Inference Models.
Jerome R. BusemeyerJennifer TruebloodPublished in: QI (2009)
Keyphrases
- bayesian inference
- probabilistic model
- variational inference
- gibbs sampler
- statistical inference
- hidden variables
- variational approximation
- probabilistic modeling
- machine learning
- bayesian models
- bayesian model
- statistical models
- prior information
- markov chain monte carlo
- data sets
- hierarchical bayesian
- weighted model counting
- bayesian framework
- markov networks
- hyperparameters
- generative model
- particle filter