Bayesian inference for neural network based high-precision modeling.
Jorge MoralesWen YuPublished in: SSCI (2022)
Keyphrases
- high precision
- bayesian inference
- high recall
- probabilistic model
- probabilistic modeling
- high reliability
- hyperparameters
- variational inference
- prior information
- neural network
- variational bayes
- gibbs sampler
- hierarchical bayesian
- achieve high precision
- particle filter
- statistical inference
- weighted model counting
- expectation propagation