Knowledge Removal in Sampling-based Bayesian Inference.
Shaopeng FuFengxiang HeDacheng TaoPublished in: CoRR (2022)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- knowledge base
- hyperparameters
- domain knowledge
- gibbs sampler
- markov chain monte carlo
- knowledge management
- statistical inference
- prior knowledge
- probabilistic modeling
- hidden variables
- bayesian model
- variational inference
- variational bayes
- hierarchical bayesian
- weighted model counting
- mixture model
- particle filter
- bayesian networks
- training data