Picturing classical and quantum Bayesian inference
Bob CoeckeRobert W. SpekkensPublished in: CoRR (2011)
Keyphrases
- bayesian inference
- quantum computation
- probabilistic model
- prior information
- bayesian model
- hyperparameters
- statistical inference
- quantum mechanics
- particle filter
- variational inference
- variational bayes
- hidden variables
- gibbs sampler
- weighted model counting
- hierarchical bayesian
- bayesian networks
- markov chain monte carlo
- training data
- prior distribution
- bayesian models
- quantum probability
- machine learning
- expectation propagation
- decision trees