Beyond Black Box Densities: Parameter Learning for the Deviated Components.
Dat DoNhat HoXuanLong NguyenPublished in: CoRR (2022)
Keyphrases
- black box
- parameter learning
- bayesian networks
- structure learning
- statistical learning
- black boxes
- white box
- maximum likelihood
- em algorithm
- test cases
- generative model
- conditional random fields
- integration testing
- white box testing
- parameter estimation
- approximate inference
- markov random field
- expectation maximization
- probability distribution
- training data
- image processing
- probability density function
- hidden variables
- probabilistic model
- prior knowledge