Keyphrases
- bayesian inference
- prior information
- probabilistic model
- hyperparameters
- hierarchical bayesian
- variational inference
- probabilistic modeling
- optimal solution
- weighted model counting
- gibbs sampler
- hidden variables
- statistical inference
- bayesian model
- inference process
- closed form
- markov chain monte carlo
- co occurrence
- variational bayes
- bayesian models
- dynamic programming
- least squares
- expectation propagation
- active learning
- decision trees